Best freelance GIS work online

We are seeking a skilled professional to create evacuation route maps that comply with Oklahoma state codes. The ideal candidate will have experience in urban planning or GIS (Geographic Information Systems) and be familiar with local regulations. The project involves analyzing existing maps, integrating required data, and ensuring compliance with safety standards. Strong attention to detail and the ability to work collaboratively with our team is essential.

• Please list any certifications related to this project

MUST BE EXPERT IN GOOGLE MAPS API AND SAMPLES OF PREVIOUS WORK.

Project Title

Google Maps–Based Staging Planner with To-Scale Assets & Editable Layouts

Project Overview

We are building a custom Google Maps–based staging and planning tool that allows operators to place, move, and manage temporary assets (trailers, generators, tents, etc.) on real satellite imagery.

Assets must be rendered to real-world scale, remain geographically accurate at all zoom levels, and support internal layouts (example: sleeping bunks inside a trailer) with color-coded status indicators.

This system will be used for operational planning, deployment staging, and demobilization scenarios.

Core Requirements

1. Map Foundation
• Use Google Maps JavaScript API as the base map.
• Satellite and map views supported.
• Assets must:
• Stay fixed to real-world coordinates.
• Remain correctly scaled at all zoom levels.
• Be draggable to new positions.

2. To-Scale Asset Generation
• Assets are defined by real-world dimensions (feet/meters).
• Example:
• Trailer: 36’ long × 12’ wide
• System must:
• Convert dimensions into geographic polygons (lat/lng).
• Render assets as true-to-scale rectangles or polygons.
• Support rotation (heading/orientation).
• Assets behave like buildings on Google Maps (not pixel icons).

3. Asset Types (Initial Scope)
• Trailers (sleeping, command, storage)
• Generators
• Temporary structures (expandable later)

Each asset must support:
• Name/label (example: “JAX Trailer”)
• Type
• Dimensions
• Orientation
• Status

4. Internal Layouts (Sleeping Trailers)

Sleeping trailers must support internal sub-layouts rendered within the trailer footprint.

Example configuration:
• 36’ × 12’ bunk trailer
• 12 bunks total
• 6 bunks on left side
• 6 bunks on right side
• All bunks currently lower level (future-proof for upper bunks)

Each bunk must be:
• Individually addressable
• Color-coded by status:
• Green – Occupied
• Yellow – Needs Cleaning
• Red – Demobilization
• Editable via UI (click/select bunk to change status)

5. Editing & Interaction
• Click asset → open side panel or modal:
• Edit name
• Edit dimensions
• Edit orientation
• View and manage internal layouts (bunks)
• Drag asset on map → position updates persist.
• Internal layouts reposition automatically when asset is moved or rotated.

6. Zoom-Aware Rendering
• Assets always visible at all zoom levels.
• Internal layouts (bunks) only render at higher zoom levels to reduce clutter.
• Labels scale appropriately with zoom.

7. Data Persistence
• Assets and layouts must be stored in a database.
• Required stored data:
• Asset type, name, dimensions
• Center lat/lng
• Orientation
• Bunk configuration and statuses
• Multiple layouts/scenarios per site preferred (Plan A, Plan B, DEMOB, etc.).

Preferred Tech Stack
• Frontend:
• React or Next.js
• Google Maps JavaScript API
• Backend:
• Node.js / Next.js API routes
• REST or GraphQL
• Database:
• MySQL or PostgreSQL
• Experience with geospatial math (meters → lat/lng conversion) required.

Deliverables
1. Working Google Maps staging planner
2. To-scale draggable assets
3. Internal bunk layouts with color-coded status
4. Editable asset properties via UI
5. Persistent storage of asset positions and states
6. Clean, well-documented code suitable for production expansion

Ideal Freelancer
• Strong experience with:
• Google Maps JavaScript API
• Geospatial calculations
• React/Next.js
• Comfortable building operational tools, not just visual demos.
• Able to think through real-world physical layouts and translate them into map geometry.
• Bonus:
• GIS experience
• Emergency response, logistics, or facilities planning tools

NanoForce Technologies is hiring a GIS / Mapping Technician to support our CountyOps™ modernization suite for local government.
This role focuses on preparing maps, route layers, and geographic assets used in winter operations dashboards, citizen intake systems, and county infrastructure planning.

This is a part-time, freelance, project-based role.

Responsibilities:

Convert state/county PDF maps into clean, usable digital layers

Prepare primary + secondary road network layers for route optimization

Build shapefiles, geoJSON, or other formats for dashboard integration

Highlight priority routes and hazard zones

Assist AI/automation specialists with map-related data needs

Ensure accuracy consistent with KYTC and county-level data

Requirements:

Experience with GIS tools: QGIS, ArcGIS, or similar

Ability to extract and clean data from PDFs, county maps, or web sources

Understanding of coordinate systems and projections

Ability to create polished visual map exports for dashboards

Strong attention to detail (no tolerance for sloppy map work)

Nice-to-Have Skills (Not Required):

Experience with routing engines or winter ops mapping

Experience with WeWeb, Airtable, or no-code dashboards

Exposure to local government workflows

Contract Details:

Rate: $20–$40/hr (depending on skill and speed)

Hours: As needed, project-based

Start: Within the next 2–4 weeks

To Apply:
Submit 2–3 examples of past GIS work (map exports, layers, route files, or screenshots).

• Have you ever converted a PDF road map into GIS layers (primary, secondary, local roads)
• Which GIS tools do you use (QGIS, ArcGIS, etc.)
• Provide 2–3 examples of GIS work you’ve done (files, images, portfolio links)
• Have you ever created route layers or mapped priority corridors for logistics, utilities, public works, etc.? If yes, describe one
• Are you available for a 1–2 hour paid test task within the next 5 days

Distribution System Design

Prepare designs for overhead and underground distribution projects following PPL utility standards.
Develop construction-ready design packages including:
Work prints and staking sheets
Pole replacements, relocations, extensions
Service upgrades, new customer connections
Underground cable routing and equipment placement
Perform pole loading analysis using IKE Poleforeman.
Apply NESC, utility safety codes, and PPL design guidelines.

Qualifications
5+ years of experience in distribution design for electric utilities.
Required: Prior project experience with PPL utility standards or processes.
Strong knowledge of distribution design principles (OH/UG systems).
Experience with utility design software (GIS tools, IKE PoleForeman, AutoCAD, MicroStation or similar).
Familiarity with NESC requirements and general utility construction practices.
Bachelor’s degree in Electrical Engineering, Civil Engineering, or related field (preferred but not mandatory if experience is strong).

Technical Documentation
Prepare drawings, cost estimates, BOMs, and construction notes according to PPL templates.
Maintain accurate records within PPL’s systems (GIS, IKE Poleforeman models and reports, AutoCAD, MicroStation or similar).
Ensure all documentation meets PPL QA standards.

• Describe your recent experience with similar projects

Scope of Work – Professional Video Content Creator

* Produce a high-quality 8-10-minute documentary film showcasing the support provided to the State Government in the planning and development of three heritage cities, with a focus on tourism-led urban and destination development.
* Develop the video strictly in accordance with the pre-conceptualised script and storyboard provided by the client. No independent scripting is required; the primary responsibility is faithful visual translation of the approved narrative.
* Use audio recordings, raw videos, photographs, GIS outputs, spatial maps, drawings, presentation slides, reports, and other materials supplied by the client to assemble the film as per the agreed storyboard sequence.
* Professionally edit and arrange visuals, including scene sequencing, smooth transitions, on-screen text, motion graphics, infographics, GIS visualisations, and maps, to clearly communicate the planning approach, analytical tools, and outcomes.
* Incorporate background music, voice-over tracks (if provided), captions, and visual effects in a restrained, professional style appropriate for government and development-partner audiences.
* Ensure the final film clearly conveys the project objectives, methodology (including use of advanced GIS tools), destination development approaches, and international best practices applied, as outlined in the script.
* Deliver a technically polished, visually consistent, and broadcast-ready final video, suitable for official presentations, stakeholder consultations, and dissemination by government agencies and development partners.

I need an experienced GIS (Geographic Information System) specialist or mapping professional to create two clear, high-quality images of a specific property location using an online mapping program.

Project Scope:

Map 1: Aerial Photograph with Property Lines:

Using a professional online mapping tool (e.g., Google Earth Pro, ArcGIS Online, QGIS, or a similar platform), create an aerial/satellite photograph of the address provided.

The primary requirement is that the property boundaries (plot lines) must be clearly overlaid and visible on the image.

The image should be clean, well-labeled if necessary, and saved in a high-resolution format (e.g., PNG, JPEG, or PDF).

Map 2: Aerial Photograph with GPS Coordinates:

Create a second image of the same property from the same aerial perspective.

This image must prominently display the GPS Latitude and Longitude coordinates for the property (decimal degrees format is preferred).

The coordinates should be clearly legible on the image itself.

Deliverables:

Two high-resolution image files as described above.

A brief note on the source of the property line data and the tool used.

Address for the Task:
71 Stevenson Street, San Francisco, CA 94105

Skills Required:

Proficiency with GIS software or advanced online mapping platforms (e.g., ArcGIS, QGIS, Google Earth Pro).

Experience in extracting and overlaying parcel/plot line data from public or county assessor records.

Ability to generate clean, professional-quality map exports.

Attention to detail to ensure accuracy of property boundaries and coordinates.

I am hiring an experienced software development team to build a TRBOnet PLUS / TurboNet–style dispatch, radio communication, and GPS tracking system for my company.

I will provide two reference systems for understanding workflow and UI:
• My licensed TRBOnet PLUS installation
• A Mobile Communication India Pvt. Ltd. developed TurboNet-style application

The final product must be fully original, professionally branded, and enterprise-grade.

Core Requirements:
• Dispatcher console (voice calls, group/emergency calls, messaging, logs, recording)
• GPS/AVL tracking (live tracking, route history, geofencing, alerts)
• Motorola MOTOTRBO integration (IP Site Connect / Capacity Plus / Capacity Max)
• Server + multi-operator client architecture

Preferred Skills:

C#/.NET, Python/Node.js, SIP/RTP audio handling, WebSocket, SQL Server/PostgreSQL, mapping/GIS, MOTOTRBO experience.

Optional Add-Ons:
• Android/iOS PTT mobile app
• Web-based dispatcher
• Analytics dashboards

To Include in Proposal:
• Similar project experience or demo
• Proposed tech stack
• Timeline & cost estimate
• Team size and expertise

I have a request for you! I need help creating a shopping list for the products we are planning to make next week. I want to build a tool where I can define the quantity of the product I plan to make and the ingredients with their total quantities are automatically calculated.

The ingredients and quantities that I manually populate into the top table the converts to price per unit, will be auto populated into a second table below.

Based on the listed quantity per ingredient and the quantity of the product I plan to make, I would like a calculation of how many ounces I need of that ingredient in order to make that recipe X times.

## PROJECT OVERVIEW

We require a sophisticated GIS analysis of St Johns Road, Leicester (LE2 2BL and surrounding properties) to demonstrate that a proposed subdivision creating a new dwelling is consistent with the established character of the street and does not result in a "cramped" or "shoehorned" development.

This analysis will be submitted as expert evidence in a planning appeal to an Inspector and must therefore be:
- **Rigorous and scientifically defensible**
- **Clearly visualized with professional maps and charts**
- **Quantitatively precise** with statistical analysis
- **Suitable for expert witness submission** in a formal planning appeal

---

## BACKGROUND CONTEXT

**Appeal Site**: 23 St Johns Road, Leicester, LE2 2BL

**Proposed Development**: Subdivision of residential plot to create:
- New 3-bedroom self-build dwelling (18 ft width at building line in 5m plot)
- Retention of existing dwelling with rear extension
- Attached development with recessed design creating visual separation

**Council's Refusal Reason**: "The proposed dwelling, by reason of its scale and size would appear cramped within its proposed plot, therefore the proposal would not successfully assimilate with the character of development within the locality."

**Your Task**: Provide quantitative evidence that:
1. Plot width of 18 ft (5.5m) is within the established range on St Johns Road
2. Plot ratio of 33.1% for the new dwelling is consistent with street average
3. Building width of 4m at building line is comparable to or narrower than existing buildings
4. The street character is defined by **variety and evolution**, not uniformity
5. The proposed development does **not appear cramped** when measured against established precedents

---

## DETAILED REQUIREMENTS

### PART 1: DATA COLLECTION & MAPPING

#### 1.1 Study Area Definition

**Primary Study Area**: St Johns Road from junction with London Road (south) to junction with Laureston Drive (north)
- Include all residential properties fronting St Johns Road on both sides
- Capture complete property footprints and plot boundaries
- Include neighboring roads for context (Holmfield Road, Laureston Drive)

**Secondary Context Area**:
- Immediate adjacent streets (Holmfield Road, Laureston Drive) to show broader Stoneygate character
- This demonstrates the street sits within a transitional zone of the conservation area

#### 1.2 Base Mapping

**Source Data** (use any/all of the following):
- Ordnance Survey mapping (most current available)
- Google Maps satellite imagery (calibrated for accuracy)
- Land Registry data if accessible
- Local authority planning/mapping data
- Digitized property boundary information

**Accuracy Standard**: Property boundaries accurate to ±0.5m (acceptable for planning evidence)

#### 1.3 Property-by-Property Data Collection

For **every residential property** on St Johns Road, collect and map:

**A. Geometric Measurements**

1. **Plot Width at Pavement Edge** (frontage width)
- Measured from property boundary to property boundary at street frontage
- Record in both meters (primary) and feet (secondary - for reference to existing data)
- If property has split frontage (garage adjacent), measure house frontage separately

2. **Building Width at Building Line** (frontage of actual structure)
- Measured at the point where building meets pavement/street face
- Distinguish between:
- Width of main building footprint
- Width of extensions/additions
- Width of garages/ancillary structures
- Record primary residential structure width

3. **Building Width at Rear**
- Measure building footprint width at rear elevation
- Note if building is wider or narrower at rear vs. front

4. **Plot Depth** (from street to rear boundary)
- Measure from pavement to rear property boundary
- Important for understanding full plot proportions

5. **Building Footprint Area** (sqm)
- Calculate from measured dimensions or digitized footprint
- Include all buildings on plot (house, garage, outbuildings)

6. **Total Plot Area** (sqm)
- Digitize complete plot from boundary mapping
- Calculate from GIS polygon

**B. Plot Ratio Calculation**

For each property, calculate:
- **Plot Built Ratio % = (Building Footprint Area / Total Plot Area) × 100**
- This shows the intensity of development on each plot

**C. Dwelling Type & Use**

Document for each property:
- Single dwelling / Multiple dwellings / Mixed use (I will provide this information)
- If multiple dwellings, how many and what type
- Examples: "Single 2-storey house", "2 flats", "4 flats", "House + flat"
- This demonstrates existing density variation

**D. Building Height**

For each property, record:
- **Ridge height** (peak of roof or equivalent) in meters
- Ground level elevation
- Number of storeys
- Roof form (pitched, flat, hipped, gabled)

---

### PART 2: SPATIAL ANALYSIS & VISUALIZATION

#### 2.1 Choropleth Maps (colour-Coded Distribution)

**Map 1: Plot Width Distribution**
- Each property coloured by plot width category:
- Below 5m (narrow): Red
- 5-8m (medium-narrow): Orange
- 8-12m (medium): Yellow
- 12-15m (medium-wide): Light Blue
- More than 15m (wide): Dark Blue
- Show proposed 23a plot (5m) on this map to demonstrate where it falls in distribution
- Add legend with actual width (in meters) for each property
- Highlight existing subdivisions (17a, 4, 9, 10, 12) that demonstrate precedent for narrow plots

**Map 2: Plot Ratio Distribution**
- Each property coloured by plot ratio category:
- Below 25%: Light Green
- 25-35%: Medium Green
- 35-45%: Yellow/Orange
- 45-55%: Orange
- More than 55%: Red
- Show current No. 23 (27.6%) and proposed post-subdivision (33.1%) on map
- This visually demonstrates proposal moves toward centre of distribution

**Map 3: Building Width Distribution**
- Each property coloured by building width at frontage:
- Similar colour scheme to Map 1
- Show proposed new dwelling on map
- Highlight No. 2 property (4.35m house) to show narrower precedent exists

**Map 4: Dwelling Density/Household Distribution**
- Each property shows number of dwelling units:
- Single dwelling: 1
- Two dwellings: 2
- Multiple flats: labelled with number (3, 4, 9 etc.)
- This shows street includes single dwellings, pairs, and flat conversions
- Demonstrates subdivision creating single dwelling is consistent with existing patterns

**Map 5: Mixed Street Character Layer Map**
- Overlay showing:
- Victorian era properties (colour coded)
- Edwardian era properties (colour coded)
- Inter-war period properties (colour coded)
- Modern/recent infill (colour coded)
- Demonstrates architectural and temporal variety
- Shows 23 St Johns (inter-war) sits among mixed era development

#### 2.2 Statistical Charts & Graphs

**Chart 1: Plot Width Distribution Histogram**
- X-axis: Plot width (meters), 0-30m range, 1m intervals
- Y-axis: Number of properties in each width range
- Show as bar chart with:
- Current frequency distribution
- Mark mean/median/mode
- Highlight 5m (proposed) on distribution
- Add trendline if appropriate
- **Objective**: Show 5m is within normal range, not outlier

**Chart 2: Plot Ratio Distribution Histogram**
- X-axis: Plot ratio (%), 20-70% range, 5% intervals
- Y-axis: Number of properties in each ratio range
- Mark mean (34.8%), median, mode
- Show current 23 (27.6%) and proposed (33.1%)
- **Objective**: Show proposed ratio moves toward average

**Chart 3: Building Width at Frontage - Box Plot or Scatter**
- Y-axis: Building width (meters)
- X-axis: Properties in sequence along street
- Add box plot showing quartiles, mean, outliers
- Highlight proposed 4m frontage
- Show No. 2's 4.35m for comparison
- **Objective**: Demonstrate 4m is not outlier, similar examples exist

**Chart 4: Plot Depth vs. Plot Width Scatter**
- X-axis: Plot width (meters)
- Y-axis: Plot depth (meters)
- Each property as point, sized by building footprint area
- colour coded by dwelling density (single vs. multiple)
- **Objective**: Show how proportions of plots vary
- Proposed 23a marked clearly

**Chart 5: Plot Ratio vs. Dwelling Count**
- X-axis: Number of dwellings on property
- Y-axis: Plot ratio %
- Scatter plot showing relationship
- Show single dwellings, then 2-dwelling, then flat conversions
- Demonstrate No. 9 (2 flats, 63.6%) vs. proposed single dwelling at 28.1%
- **Objective**: Show subdivision to single dwelling at lower density than existing multi-unit properties

**Chart 6: Building Width Distribution at Different Points**
- Compare building width at:
- Building line (frontage)
- Mid-point
- Rear of building
- Show as grouped bar chart or small multiples
- Demonstrate many buildings are narrower at front than rear (stepped/progressive widths)
- Proposed 23a (4m front → 5.5m rear) follows this pattern

#### 2.3 Comparative Analysis Maps

**Map 6: Street Character Zones**
- Divide St Johns Road into zones showing:
- Victorian/Edwardian dense period (West)
- Inter-war suburban (Central/East) ← where 23 St Johns sits
- Modern infill (scattered)
- Show that site is in transitional "mixed character" zone
- Demonstrate East Stoneygate is more eclectic than West

**Map 7: Subdivision Precedent Map**
- Mark all properties created by subdivision or conversion:
- No. 17A (created by subdivision from 19)
- No. 4 (multiple dwellings from original)
- No. 9 (flat conversion)
- No. 13 (flat conversion)
- No. 15 (flat conversion)
- No. 12 (house + flat)
- Show these with special symbol/colour
- **Objective**: Demonstrate subdivision/intensification is established pattern

---

### PART 3: QUANTITATIVE SUMMARY STATISTICS

#### 3.1 Descriptive Statistics Table

Create table showing:

| **Metric** | **Value** | **Unit** | **Notes** |
|---|---|---|---|
| **PLOT WIDTH (Frontage)** | | | |
| Minimum | [X] | m | Property: No. X |
| Maximum | [X] | m | Property: No. X |
| Range | [X] | m | Max - Min |
| Mean | [X] | m | Average across all properties |
| Median | [X] | m | Middle value |
| Standard Deviation | [X] | m | Measure of variation |
| Coefficient of Variation | [X] | % | Std Dev / Mean × 100 |
| Proposed 23a width | 5.0 | m | Within range? (Yes/No) |
| Proposed 23a building line | 4.0 | m | Similar to narrowest? |
| **BUILDING WIDTH (at building line)** | | | |
| [Repeat above metrics] | | | |
| No. 2 house width | 4.35 | m | Narrower than proposed? |
| Proposed 23a building line | 4.0 | m | Position in distribution? |
| **PLOT RATIO** | | | |
| Minimum | [X] | % | Property: No. X |
| Maximum | [X] | % | Property: No. X |
| Range | [X] | % | Spread of intensities |
| Mean | 34.8 | % | Average |
| Median | [X] | % | Central tendency |
| Standard Deviation | [X] | % | Measure of variation |
| Current No. 23 | 27.6 | % | Below average |
| Proposed post-subdivision | 33.1 | % | Closer to mean? |
| Variation from mean (current) | -7.2 | % | Deviation magnitude |
| Variation from mean (proposed) | -1.7 | % | Reduced deviation |
| Improvement | 76 | % | Reduction in deviation |
| **DWELLING DENSITY** | | | |
| Total dwelling units | [X] | units | On all properties |
| Single dwelling properties | [X] | count | % of properties |
| Multi-unit properties | [X] | count | % of properties |
| Multiple flats on smallest plot | [X] | units | No. 9 precedent |
| Proposed single dwelling density | Low | comparative | Lower than multi-unit |

#### 3.2 Distribution Analysis

Calculate and present:

1. **Quartiles for plot widths**
- Q1 (25th percentile): [X]m
- Q2 (Median): [X]m
- Q3 (75th percentile): [X]m
- Show where 5m proposed falls

2. **Quartiles for plot ratios**
- Q1: [X]%
- Q2: [X]%
- Q3: [X]%
- Show where 27.6% (current) and 33.1% (proposed) fall

3. **Outlier Analysis**
- Using 1.5 × IQR method, identify statistical outliers
- Show proposed dimensions are NOT outliers

4. **Percentage Distribution**
- % of properties with plot width below 5m
- % of properties with plot width 5-8m
- % with more than 8m
- Position proposed 5m within distribution

---

### PART 4: EXPERT ANALYSIS & INTERPRETATION

#### 4.1 Written Summary Report (2-3 pages)

Provide brief written analysis including:

**Executive Summary**
- Key findings in plain language
- Main conclusion: "Proposed development consistent with street character"

**Methodology**
- Data sources used
- Measurement standards and accuracy
- Assumptions made

**Key Findings** (with reference to charts/maps):
1. Plot width range: 18-97 ft (5.5-29.6m)
- Proposed 5m within range
- 5 existing properties have similar width
- Street characteristic: VARIED

2. Building width at frontage: 4-29.57m
- Proposed 4m building line
- No. 2 house narrower (4.35m)
- Street characteristic: VARIED

3. Plot ratio range: 24.2%-63.6%
- Proposed post-subdivision: 33.1%
- Street average: 34.8%
- Proposed moves 76% CLOSER to average
- Street characteristic: INTENSIFICATION ESTABLISHED

4. Dwelling density: Single to 9 households
- Existing variety documented
- Subdivision establishing single dwelling LOW density

5. Street character: MIXED & ECLECTIC
- Multiple eras (Victorian, Edwardian, Inter-war, Modern)
- Multiple building types (detached, semi, flats)
- Multiple intensities (1-9 households per plot)
- Character defined by VARIETY, not uniformity

**Planning Implications**
- Proposed development does not create "cramped appearance"
- Building width (4m) at narrower end of range but within precedent
- Plot ratio moves closer to street average
- Subdivision consistent with established pattern
- Street character allows contemporary design response

#### 4.2 Specialist Analysis: Uniformity vs. Variety

[This is a potential additional project]

If Council argues street has "uniform character" (per Kazalbash precedent):

**Counter-analysis map/chart showing:**
- Coefficient of variation for plot widths: ~[X]% (high = varied)
- Coefficient of variation for plot ratios: ~[X]% (high = varied)
- Temporal variation: 4 different eras present
- Typological variation: detached, semi, flats
- Density variation: 1-9 households
- **Conclusion**: Statistical evidence that street is NOT uniform

---

## SPECIFIC DATA TO FOCUS ON

### Properties to Map & Measure (Priority Order)

**CRITICAL - Must Include**:
1. No. 23 (your property) - current plot
2. No. 23a (proposed new dwelling location)
3. No. 21 (immediate neighbour, South)
4. No. 25 (immediate neighbour, North)
5. No. 2 (narrowest house example - 4.35m)
6. No. 9 (highest density example - 2 flats on 18ft plot)
7. No. 9B (same approximate width - different use)
8. No. 17A (subdivision precedent - created from No. 19)

**IMPORTANT - Include**:
9. No. 4 (4 households - high density precedent)
10. No. 10 (9 households - highest density)
11. No. 12 (mixed use: house + flat)
12. No. 13 (3 flats conversion)
13. No. 15 (3 flats conversion)
14. No. 19 (subdivision source - No. 17A created from this)

**HELPFUL - Include if time permits**:
15-27: All other numbered properties on St Johns Road for comprehensive distribution analysis

### Key Comparative Measurements to Highlight

1. **Narrowest House**: No. 2 (4.35m) vs. Proposed 4m building line
- Demonstrate proposed is narrower than existing houses

2. **Same Frontage Width**: No. 9 (18ft) vs. Proposed 23a (18ft plot width)
- Show proposed matches narrowest existing plot but at lower density (1 dwelling vs. 2 flats)

3. **Plot Ratio Movement**:
- Current No. 23: 27.6% (7.2% below average)
- Proposed split: 33.1% (1.7% below average)
- Demonstrate moving TOWARD conformity, not away

4. **Subdivision Precedent**: No. 17A
- Show it was created by subdivision from No. 19
- Demonstrate subdivision established as acceptable pattern

5. **Density Comparison**:
- No. 9 St Johns: 63.6% plot ratio with 2 flats
- Proposed 23a: 28.1% plot ratio with 1 dwelling
- Show proposal LOW density compared to existing multi-unit properties

---

## DELIVERABLES

### Required Outputs

1. **GIS Project File**
- Complete QGIS project (.qgz file) with all layers, data, and analysis
- All source data in accessible format (shapefiles, GeoJSON, or similar)
- Metadata documenting data sources and accuracy standards

2. **Maps (PDF, high-resolution 300dpi)**
- Map 1: Plot Width Distribution (choropleth)
- Map 2: Plot Ratio Distribution (choropleth)
- Map 3: Building Width Distribution (choropleth)
- Map 4: Dwelling Density/Household Distribution
- Map 5: Building Era & Character (temporal variation)
- Map 6: Street Character Zones
- Map 7: Subdivision Precedent Map
- Plus any additional maps useful for analysis
- **All maps must include**:
- Scale bar
- North arrow
- Legend
- Property numbers/identifiers
- Proposed 23a highlighted distinctly
- Professional cartographic styling suitable for planning appeal

3. **Statistical Analyses (Excel file with charts)**
- Histogram: Plot width distribution (with proposed marked)
- Histogram: Plot ratio distribution (with current & proposed marked)
- Box plot: Building width at frontage
- Scatter plots as described
- Summary statistics table (all metrics listed above)
- Quartile analysis
- Outlier analysis

4. **Written Report (3-5 pages, Word or PDF)**
- Executive summary
- Methodology
- Key findings (with references to charts/maps)
- Planning implications
- Conclusion: Development not "cramped" based on quantitative evidence

5. **Supporting Data (Spreadsheet)**
- Comprehensive property-by-property database with all measurements
- Columns: Property number, plot width, building width (frontage), building width (rear), plot depth, plot area, building area, plot ratio %, dwelling count, building height, era, use type, notes
- Sortable and filterable for analysis
- Calculated fields showing deviation from mean

---

## PRESENTATION FOR PLANNING APPEAL

These outputs will be used in a planning appeal hearing before a Planning Inspector. Quality standards are therefore:

- **Professional appearance**: Maps suitable for submission to Planning Inspector
- **Scientific rigor**: All measurements documented, methodology clear, calculations verifiable
- **Clear communication**: Charts and maps must be immediately intelligible to non-GIS specialists
- **Expert quality**: Suitable for submission as expert witness evidence

The analysis should communicate:
1. **Quantitatively**: Using statistics and data
2. **Visually**: Using clear, professional maps and charts
3. **Narratively**: Explaining what the data demonstrates about street character

---

## ADDITIONAL NOTES

### Context for Contractor

- This analysis will be submitted to a Planning Inspector as evidence that a proposed 3-bedroom dwelling is not "cramped" or "shoehorned" into its plot
- The Council has refused permission arguing the building appears cramped in character/appearance
- Your analysis should demonstrate (using hard data) that:
- Plot widths vary widely (18-97ft) so 18ft is within normal range
- Plot ratios vary widely so proposed 33.1% moves toward average
- Building widths at frontage include narrower examples (No. 2: 4.35m)
- The street is characterized by VARIETY and EVOLUTION, not uniformity
- Therefore the proposal is consistent with established character
- This is equivalent to preparing expert evidence for a formal planning appeal

### Quality Assurance

Please provide:
- Summary of data sources and accuracy assessment
- Methodology documentation
- List of any assumptions made
- References to property numbers and measurements used in each map/chart
- Quality check: Sanity check on measurements (do they look reasonable when compared visually to satellite imagery?)

---

## TIMELINE GUIDANCE

This is a detailed analytical project requiring:
- Property-by-property data collection: 4-6 hours
- GIS mapping and spatial analysis: 8 hours
- Statistical analysis and chart generation: 4 hours
- Report writing and finalization: 4 hours

---

## CONTACT & QUESTIONS

If you have questions about the project requirements:
- Ask for clarification on which properties to prioritize if time is limited
- Confirm data sources available (ordnance survey, satellite imagery, etc.)
- Discuss if any additional analysis would strengthen the planning argument
- Confirm timeline required (needed for planning appeal submission)

**Target completion**: [22/12/2025]

We’re putting a 4 MW DC community solar farm under contract in Douglas, MA and need a PE-stamped conceptual site plan package in the next 7–10 days so we can lock the land and get on the January Planning Board agenda.
(we don’t own the land yet, so we’re keeping it lean but complete).

Site & Parcel

13 Perry St, Douglas, MA 01516
Parcel ID: M:0220 B:0000023 L:0000-0419-6091
22.8 acres, ~2,736 ft N-S, 276 ft E-W north ¾ of the way from north, then flares to 330 ft E-W at south end
Perry St frontage on the east side
Small flagged wetland ~30 ft inside northern boundary (100 ft buffer required)
Mostly flat, wooded, no known contamination

Exact Layout We Want Shown

40 rows total, fixed-tilt 25–30°, south-facing
Row spacing 18.5 ft center-to-center
30 ft gravel center service road running full length
8 combiner boxes along center road (one every 5 rows)
4 × 1 MW inverter pads + 1 transformer pad in the southern 330 ft flare
75 ft side setbacks, 100 ft north/south buffers

Deliverables Required (one PDF package, PE-stamped)

Cover sheet + project summary
Existing conditions plan (MassGIS parcel, wetlands, topo)
Proposed site plan with all dimensions labeled
Grading & drainage plan (vegetated swales every 4 rows, 2 infiltration basins south, sediment forebays, flow arrows)
Erosion & sediment control plan (silt fence, stabilized entrance)
Visual screening plan (6 ft stockade fence + staggered evergreen hedge on Perry St side)
One-page decommissioning plan with $202,400 bond estimate
Zoning compliance table referencing Douglas §6.8 (Special Permit + Site Plan Review)

Files Attached for You

GIS screenshot with exact yellow parcel boundary
Our hand-sketch layout (40 rows already drawn)
MassGIS wetland layer snippet
Link to Douglas Zoning Bylaws §6.8

https://next.axisgis.com/DouglasMA/
ID:2230
PropertyAddress:13 PERRY ST
MapSheet:220
It comes up as 23 on there.

We are looking for an expert Unity developer to build a complete Digital Twin simulation platform for managing and monitoring a nationwide network of fuel stations.

The system will allow us to:

View all stations on a live map

Build and customize each station in 3D

Simulate real-time operations (pumps, tanks, vehicles)

Receive and send live data through API

Monitor sales, inventory, alerts, and performance

Generate visual insights and analytics

This is a full-scope project combining planning, simulation, and analytics into one unified tool.

What You Will Build
1. GIS-Based Map Interface

A live map showing all stations, with the ability to select and manage each location.

2. 3D Station Builder

A simple editor where the user can design the layout of each station, place assets, and configure buildings, pumps, and fuel tanks.

3. Real-Time Operations Simulation

The system will display pump status, tank levels, sales data, and vehicle activity — all triggered by API events.

4. Central Dashboard

A unified dashboard to view all stations, performance metrics, and alerts in one place.

5. Inventory & Supply Chain Simulation

Automatic tracking of tank levels, alerts for low stock, and animated fuel truck deliveries.

6. Financial & Operational Insights

Basic profitability calculations, historical data, and performance charts.

I need someone to help me extract the zoning map of Bali from this website:

👉 https://gistarubali.id/

The map shows different zoning colors and areas (RTRW Bali). I want to save this zoning layer and receive it as a file I can use in mapping tools such as OpenStreetMap, Leaflet, QGIS, Mapbox, etc.

Your Task

Access the website above

Find the zoning overlay layer

Extract the zoning shapes/borders

Export the zoning into a file format such as:

GeoJSON (preferred)

SHP

or another common map format

Goal

I want a clean zoning map file that I can load into my own map.

You Should Be Able To

Work with basic GIS tools

Download or capture map layers

Export them to a usable format

Deliverables

Zoning overlay file (GeoJSON preferred)

I am looking for a highly experienced Web GIS Developer to build an open-source, browser-based Property Tax Mapping Tool for municipal use. The system will integrate an existing PostgreSQL/PostGIS database with a GeoServer map service and a modern web map interface (Leaflet or similar).

The tool will allow municipal staff to view buildings and community boundaries, click on features to view property details, and enter or update property tax information stored directly in PostGIS.

This is an end-to-end project: system setup, development, testing, deployment, and documentation.

Key Features Required
1. Map & Data Integration

Connect to existing PostGIS database (building footprints, communities, district boundary).

Publish layers using GeoServer (WMS / WFS / GeoJSON).

Apply simple, readable map styling (SLD).

2. Web Application (Frontend)

Interactive map built with Leaflet/OpenLayers.

Click buildings to display attributes in a sidebar.

Search for buildings (ID, name, or available fields).

Form interface to input/update property tax data (tax year, assessed value, tax rate, payment status, payer name, etc.).

3. Backend API

Build a lightweight REST API (Flask, FastAPI, or Node.js/Express).

Create/update tax records in PostGIS.

Implement secure authentication for municipal staff.

4. Deployment & Documentation

Deploy complete application on Linux server or cloud VM.

Provide:

Technical documentation

Brief walkthrough

Experience Required

Applicants must have strong experience with:

Web GIS: Leaflet, OpenLayers, MapLibre

Spatial databases: PostgreSQL/PostGIS

Map servers: GeoServer (publishing layers, SLD styling)

REST API development (Flask/FastAPI or Express)

Full stack web development (JavaScript, HTML, CSS)

Authentication & basic security

Deployment on Linux servers

Bonus experience: Building tools for low-resource or Global South environments

• Write down all possible questions?

Estimator required to estimate a 400 KV GIS Substation M&E Installation in the UK.
Packages:
GIS Installation
AIS Installation
Control Panels Installation
LV Cable
Containment
Consumables
HV Terminations
Estimate to be complete by 24/12/2025

• Describe your recent experience with similar projects

galileo is a gis rendering engine
https://github.com/galileo-map/galileo_flutter

your task would be to support rendering vectors from a legir tile provider of your choice (google / mapbox / esri)

I’m looking for a highly skilled Data Visualization Motion Designer who can turn complex datasets into cinematic, narrative-driven animated videos. This is not a standard After Effects editor role — I need someone who lives at the intersection of data visualization, geography, animation, and code.

You should be able to create visuals similar to NYT Graphics, Vox, FT Visuals, or SCMP’s Infographics Team — blending clear data storytelling with polished motion design.

If you can animate global maps using GeoLayers 3, transform CSV/JSON datasets into dynamic charts, or even export D3.js-style visualizations into video, you're exactly who I’m looking for.

What You’ll Work On

Animated maps (e.g., zooms, paths, annotations, data overlays) using GeoLayers 3 inside After Effects

Data-driven motion graphics using AE expressions, JSON/CSV imports, and chart animation techniques

Custom data visualizations (line charts, bar races, scatterplots, geographic overlays) that unfold as part of a story

Transforming interactive visualizations into video, ideally using D3.js, Three.js, or Canvas exported through frame-based workflows (Puppeteer, headless Chrome, FFmpeg, SVG sequences, etc.)

Narrative visual storytelling: using data to reveal insights, not just animate shapes

Map styling, geospatial accuracy, and working with GIS assets (GeoJSON, Shapefiles, coordinate systems)

Building reusable templates for ongoing video series

Required Technical Skills

You do NOT need mastery of every item below — but you should be fluent in most.

Motion Graphics & Video

Expert in Adobe After Effects

Strong in shape animation, graph animation, transitions, easing, and compositing

Experience with data-driven animation (linking JSON/CSV to AE through Expressions)

Comfortable using Illustrator assets, prepping vector files, and designing clean UI visuals

Map Animation & Geospatial

Proficiency with GeoLayers 3 (required)

Ability to animate maps: panning, zooming, tilting, highlighting features

Experience importing or preparing data (GeoJSON, latitude/longitude CSVs, etc.)

Familiarity with QGIS or other GIS tools is a major plus (cleaning / simplifying geometry, projections, shapefile handling)

Data Visualization / Coding Mindset

Familiarity with D3.js or similar visualization libraries (great if you can prototype or export visuals from code)

Understanding of SVG vs Canvas for high-resolution export

Experience exporting web-based visualizations to video (e.g., Puppeteer → PNG sequence → FFmpeg) is a huge plus

Ability to work with structured data (CSV, JSON) and understand basic analysis

Bonus Skills (not required but valued)

3D visualization: Cinema 4D, Blender, Element 3D, or Helium for terrain

Physics animation (Newton 3)

Knowledge of creative coding (p5.js, Three.js)

Ability to build automated pipelines or reusable templates

Understanding of data storytelling / journalism principles

Ideal Candidate

You're a hybrid of:

Motion designer

Data visualization specialist

Technical animator or creative developer

You love turning raw numbers into something an audience can feel and understand. You know how to choose visual encodings, simplify data without losing meaning, and guide the viewer’s eye with timing and composition.

You don’t just push keyframes — you think in systems and workflows.

Portfolio Requirements (Important)

Please apply only if you can share examples of:

Animated maps (ideally with GeoLayers)

Data-driven motion graphics (charts, graphs, timelines, bar races, visual explanations)

Any D3.js-style or code-based visualizations exported to video (optional, but a major advantage)

Links to showreels, Vimeo, YouTube playlists, Behance, or GitHub readmes are all welcome.

Generic After Effects template edits will not be considered.

About the Projects

These videos are for an educational YouTube channel focusing on:

Maps & geography storytelling

Political and historical explainers

Economic and demographic data analysis

Big-picture trends illustrated through motion graphics

We produce high-quality, research-driven visual stories, and we need someone who can translate complex data into elegant, cinematic visuals.

If you think like a designer, code like a developer, and animate like a filmmaker — we want you.

Bushfire Performance Designer (BPAD-Equivalent) – APZ & BAL Strategy for 25-Acre Rural Innovation Precinct in Glenorie NSW

The Vision – Help Build a Bushfire-Resilient Agri-Innovation Hub

We’re transforming 25 acres at 106 Cattai Ridge Rd, Glenorie (RU2 Rural Landscape zoning, The Hills Shire Council) into Australia’s premier agri-innovation and agritourism destination:

- Gluten-free milling, robot-driven factories, vertical farms, aquaculture, orchards, permaculture
- Farm-stay cabins, farm-to-table restaurant, STEM education centre, public eco-trails
- 100 % off-grid capable with full bushfire resilience (PBP 2019 compliant)

We are pre-Concept DA (target Q1 2026) and need a sharp bushfire consultant who can turn our existing BPAD report, fresh high-resolution drone data, and survey layers into a robust, council-ready performance solution.

The Challenge – We Need a Defensible Bushfire Strategy
Our 2022 BPAD assessment is preliminary. We now have accurate drone imagery and survey data, so we need someone to:

- Update APZ layouts and BAL ratings for the proposed building envelopes
- Design performance solutions that satisfy The Hills Shire and NSW RFS
- Minimise excessive clearing while keeping the site safe, natural, and visually appealing

Initial Scope – 15–25 hours to start (longer term relationship very likely)

- Review our existing BPAD report, processed drone layers, and survey .dwg
- Prepare updated APZ maps, BAL contours, and access/egress plans
- Draft a concise “Bushfire Performance Solution” report (10–15 pages) suitable for pre-lodgement meetings and Concept DA
- Recommend landscaping and vegetation treatments that meet PBP 2019 Table 7 while preserving rural character
- Visit the property or join 1–2 short Zoom calls to explain the strategy and answer questions

The right person will become our ongoing bushfire partner for all future stages.

Budget
$70 – $100/hr AUD

Must-Have Experience

- BPAD or equivalent bushfire accreditation (or proven track record delivering PBP 2019 performance solutions)
- NSW rural / RU2 / Hills Shire experience
- Experience with large-lot master planning and agri-tourism projects
- Strong knowledge of PBP 2019, BAL ratings, APZs, and asset protection

Nice-to-Have

- Experience integrating ecology buffers (e.g., Darwinia biflora)
- GIS skills for APZ mapping (QGIS/ArcGIS)

Why Work With Us

- 3–5 year program - this is a career-defining rural innovation project
- Decisive, consultancy team - quick payments, clear feedback
- You’ll shape the bushfire strategy for a high-profile, grant-ready project

How to Apply – In your proposal please include:

- 2–3 examples of rural NSW bushfire reports or APZ plans you’ve delivered (links or case studies)
- Your hourly rate + confirmation of your availability
- Answer this: What’s one common bushfire planning mistake you see on rural RU2 sites?
- Somewhere on our 25 acres lives a very territorial koala who thinks he owns the place. Give him a Glenorie-appropriate name in your submission.

Top 3–5 candidates get a 15-minute video call
We’re hiring ASAP!

I have a weather visualization app built with Tauri v2. Currently, the web frontend (JS/SolidJS) handles fetching binary weather data, grid projections (Lambert, Polar Stereographic, etc.), and rendering via WebGL.

The Goal:
I am migrating the rendering pipeline to Native iOS (Mapbox + Metal) to achieve 60fps performance. I need to move the data processing and geometry generation out of JavaScript and into Rust, and render it using Swift/Metal.

Current Status (What is already done):

The environment is ready: The Tauri v2 project is set up and compiling.
The Map is ready: I have the MapboxMaps SDK installed and running natively in Swift.
The Bridge is ready: I have a working WeatherMapPlugin (Rust) and MapboxBridge (Swift) that successfully communicate.
The Reference is ready: I have the full, working JS/WebGL source code (GridRenderLayer.ts) that needs to be ported.
The Problem:
Passing processed grid data from JS to the Native layer is too slow. The data fetching, decompression, and math must happen in Rust, passing pointers to Swift for rendering.

The Scope of Work:

Port Logic from JS to Rust:
Rewrite the logic from my GridRenderLayer.ts into Rust.
Port coordinate transformations (currently using proj4 in JS) and manual grid generation logic (vertices/indices calculation).
Implement binary fetching and zstd decompression in Rust.
Rust-to-Swift Zero-Copy:
Implement an optimized mechanism (FFI/Pointers) to pass the generated Vertex Buffers and Texture Arrays from Rust to Swift without serialization overhead.
Native Rendering (Swift + Metal):
Implement a CustomLayerHost in the Mapbox iOS SDK.
Port my existing GLSL Fragment/Vertex shaders to MSL (Metal Shading Language).
Render the data provided by the Rust backend.
Required Skills:

Rust: Deep experience with FFI, binary data manipulation, and math libraries (nalgebra or proj crates).
Swift: Experience with Mapbox Maps SDK v10/v11 and Metal (MTLDevice, render pipelines).
GIS/Math: Ability to read JavaScript projection math (Linear Algebra/Trigonometry) and rewrite it accurately in Rust.
To Apply:
Please confirm you understand that this is a porting task (JS Logic to Rust, GLSL to Metal) within an existing Tauri environment. Please share relevant experience with Metal shaders or Rust FFI.

Competências Técnicas Obrigatórias:

O candidato ideal deve demonstrar domínio sólido em:

Adobe Illustrator – criação de gráficos vetoriais, mapas e elementos técnicos

Adobe Photoshop – edição de imagens, otimização e composição

Adobe InDesign – diagramação profissional de documentos longos

Graphic Design – tipografia, layout, identidade visual institucional

Infográficos – criação de diagramas, fluxos operacionais e visualizações

Web Design (opcional) – estruturação futura de conteúdos online

HTML / WordPress (opcional) – útil para futura presença digital do PISU

Autodesk AutoCAD (opcional) – elaboração de desenhos técnicos estruturais

Landing Page Design – útil para portais de financiamento e parcerias

Diferenciais:

Experiência com estilo visual da ONU/OMS/BM

Experiência com mapas GIS (QGIS/ArcGIS) ou, pelo menos, capacidade de integrá-los visualmente

• Describe your recent experience with similar projects
• Describe your typical design process and methods

I am looking for a GIS-trained freelancer to convert municipal zoning maps (PDF format) into accurate, georeferenced polygon layers for use in real-estate analysis. Many of the zoning maps are scanned PDFs, so they will need to be georeferenced and manually digitized.

This is ongoing work—I will have dozens of municipal zoning maps across Pennsylvania.
Consistent work will be available for high-quality contributors.


Your Responsibilities:

1) Georeference PDF zoning maps to real-world coordinates
2) Digitize polygons for each zoning district (manual tracing required)
3) Assign correct zoning codes to each polygon (R-1, R-2, C, M-H, etc.)
4) Create attribute tables linking zoning code → zoning description
5) Export deliverables in multiple formats (GeoJSON, SHP, KML)
6) Provide a PNG preview map with labeled zones
7) Communicate clearly when a map has distortions or unclear boundaries


Deliverables for Each Map:
1) GeoJSON file
2) Shapefile package (.shp, .shx, .dbf, .prj)
3) KML version
4) PNG preview map with outlines + zoning labels
5) Excel/CSV attribute table with zoning code + zoning description
6) Notes on georeferencing method, projection used, and any uncertainties


Required Skills:
1) Experience with QGIS or ArcGIS Pro
2) Strong ability to georeference scanned maps
3) Experience manually digitizing polygons with high accuracy
4) Strong understanding of zoning map symbology & legends
5) Familiarity with NAD83 / State Plane Pennsylvania South (or ability to learn quickly)
6) Ability to export GeoJSON, SHP, and KML formats
7) Ability to work with parcel datasets is a plus

Bonus Skills (not required but helpful):
1) Python (GeoPandas, Shapely)
2) Experience with Pennsylvania zoning maps
3) Experience joining zoning layers to parcel data
4) Ability to automate parts of the workflow

Additional Required Questions (Answer in Your Cover Letter)
1) Start your application with the word: “Georeference.”
2) Upload a screenshot showing: A) QGIS or ArcGIS open, B) Any vector layer loaded, C) The attribute table visible
3) In one sentence, explain the difference between: georeferencing vs. digitizing
4) Describe your process for georeferencing scanned PDF maps.
5) What projection would you use for zoning data in Pennsylvania?
6) Share a sample (screenshot or file) of previous digitization work.
7) What is your hourly rate for ongoing zoning digitization work?

• Do you have experience with QGIS or ArcGIS Pro?
• Do you have experience georeferencing scanned maps?
• Have you digitized zoning maps or parcel maps before?
• Please confirm you can export SHP, GeoJSON, and KML.
• Are you available for ongoing work for the next several months?

🔥 Commercial Land Researcher – $2 Per Approved Submission + Bonuses ($100, $250, $2,000!) – AI Tools Welcome 🔥

🌎 WORK FROM ANYWHERE • FLEXIBLE HOURS • AI-FRIENDLY • MASSIVE BONUS POTENTIAL

Do you love online research?
Enjoy Google Maps, data, or finding hidden opportunities?
Want a job where your speed + effort = your income?

If yes, this is one of the best online gigs on Upwork.

We are sourcing commercial retail land parcels across the United States and need motivated researchers to help us identify, analyze, and submit viable sites.

This is NOT hourly.
This is a performance-based role with unlimited earning potential, and HUGE milestone bonuses if we develop a parcel you found.

💵 PAY PER APPROVED SUBMISSION
⭐ $2 USD for every approved land submission

We provide:

clear guidelines

a simple submission form

examples of successful submissions

AI tools to help you work faster

Your job:
Research → Verify → Submit → Earn.

🎯 WEEKLY PERFORMANCE REQUIREMENT

To stay on the team, you must be able to submit:

➡️ At least 10 approved parcels per week

Many researchers submit far more.

⚡ HOW MANY SITES CAN YOU SUBMIT PER DAY?

Once trained and using AI tools, most researchers can achieve:

BEGINNER

✔ 5–10 approved submissions/day

EXPERIENCED / FAST WORKERS

✔ 10–20 approved submissions/day

TOP PERFORMERS (AI-Optimized Workflow)

✔ 20–25+ approved submissions/day

There is no cap on your earnings.

🎉 WEEKLY BONUSES
Approved Submissions (Weekly) Bonus
10 approvals +$10
25 approvals +$25
50 approvals +$60
🏆 MAJOR DEAL BONUSES (HUGE UPSIDE)

If we move forward with a land parcel you submitted, you earn:

Milestone Your Bonus
Land goes under contract +$100
Land purchase closes +$250
Day 1 of operations (opening day) +$2,000
⭐ ONE winning submission = Up to $2,352 for you

Multiple team members can earn these bonuses.

🤑 REAL EARNING POTENTIAL
Performance Level Daily Weekly Monthly
GOOD $10/day $60/week ~$225/month
BETTER $20/day $125–$160/week ~$450–$500/month
BEST $40/day $260/week ~$850–$900+/month

Plus: deal bonuses of $100, $250, and $2,000.

🤖 AI TOOLS ARE ENCOURAGED

To work faster, you may use:

ChatGPT

Claude

Google Maps AI tools

AADT tools

GIS lookup tools

Retail mapping tools

AI helps you earn more by speeding up research.

🌟 WHY THIS JOB IS INCREDIBLE

100% remote

Choose your own hours

No phone calls or meetings

No experience required

Unlimited earning potential

Simple online research

Fast approvals & consistent work

Big bonuses for top performers

Long-term opportunity with a growing company

If you’re fast, accurate, and resourceful, this job can pay extremely well.

• Are you comfortable being paid per approved submission at $2 each?
• Can you commit to at least 10 approved submissions per week?
• Are you willing to use AI tools to work faster?
• We are hiring multiple researchers immediately.

Senior Software Engineer - 3D Modeling & Visualization in web application

About the Role
We are seeking an exceptional Senior Software Engineer to take over and complete a sophisticated 3D modeling tool that integrates mapping functionality with logic-driven, modifiable 3D massing generation. This is a critical role requiring someone who can quickly understand complex existing codebases and drive the project to completion.
The Project
You'll be inheriting a complex 3D modeling application that combines:

Interactive 3D massing generation with customizable logic
Map data integration and visualization
Real-time editing and modification capabilities

The codebase primarily uses nodejs and react with advanced graphics rendering capabilities through threejs and turfjs.

Key Responsibilities

Take ownership of an existing 3D modeling tool codebase and architecture
Complete development of map integration and logic-driven 3D massing features
Optimize rendering performance and user interaction workflows
Debug and resolve complex graphics and geometry processing issues
Implement new features and enhancements based on project requirements
Document code and create technical specifications for future maintenance
Collaborate with stakeholders to understand project vision and requirements

Required Technical Skills
Core Competencies:

Graphics Programming: Expert-level knowledge of OpenGL/WebGL rendering pipelines
3D Frameworks: Proven experience with Three.js, WebGL, and 3D visualization
Programming Languages: Strong proficiency in JS
3D Mathematics: Deep understanding of 3D geometry, transformations, and spatial algorithms

Essential Experience:

Building complex 3D modeling and visualization tools
Map integration and geospatial data processing
Working with existing codebases and technical debt

Highly Desirable Skills

Node.js for backend services
Experience with CAD or architectural visualization tools

Ideal Candidate Profile
You are a graphics researcher and developer who:

Has built or significantly contributed to production 3D visualization systems
Can work independently to understand and extend complex existing code
Thrives on solving challenging computational geometry problems
Has experience with gesture controls, interactive 3D interfaces, or similar advanced UX
Brings a portfolio of completed 3D graphics projects
Has worked on drafting, modeling, or architectural software
Demonstrates strong problem-solving abilities in graphics programming

Project Background
This role involves completing work started by a highly skilled engineer who:

Built custom OpenGL rendering solutions
Developed cross-platform graphics engines
Created 3D viewers with advanced interaction models (Kinect, Leap Motion)
Worked on multiplayer games with gesture controls
Built AR applications and HUD displays
Developed Android video players and custom launchers

What We're Looking For

Autonomy: Ability to work independently and make architectural decisions
Technical Excellence: Deep expertise in 3D graphics and computational geometry
Completionist Mindset: Drive to finish what others started and deliver production-ready code
Communication: Ability to explain complex technical concepts clearly
Reliability: Consistent delivery and strong work ethic

Education
Bachelor's degree in Computer Science, Software Engineering, Mechatronics, or related technical field preferred

• Describe your recent experience with similar projects
• Include a link to your GitHub profile and/or website
• What frameworks have you worked with?

We are looking for an expert level freelance engineer with strong experience in geospatial data, routing, and applied machine learning or heuristic modeling.

PROJECT GOAL

Build a production ready algorithm that, for any delivery address in our system, returns:

1. The best navigation point on or near the road network where the van should stop
2. The best building entry point where the driver should walk to

You will work with real last mile delivery data at scale and collaborate directly with the founder.

SCOPE & DELIVERABLES

For an initial 4 to 6 week engagement we expect:

1. Design
- Short written proposal of your approach
- Assumptions, data you need from us, and clear success metrics

2. Algorithm and code
- Python functions that, given an address and its historical events, compute
- navigation point
- entry point
- Use inputs such as
- GPS traces and speed from Android devices
- motion state (in vehicle, walking, still)
- app events like navigation start, arrived, parcel scan, stop finished
- building polygons and manually drawn acceptable nav and entry polygons
- OSRM nearest (and optionally route) API for snapping to roads and routing
- Clean, modular code that we can run on our side

3. Evaluation framework
- Script that runs your algorithm on a labeled set of addresses
- Metrics such as
- whether points fall inside the correct polygons
- distance to historical parking and entrance clusters
- Simple text or notebook report explaining results and tradeoffs

4. Handover
- Short documentation on how to run the code, change thresholds, and extend the approach

REQUIRED EXPERIENCE

Please only apply if you are comfortable working largely independently on a technically complex project and have strong experience with most of the following:

- Python and the geospatial stack (GeoPandas, Shapely, PyProj or similar)
- Working with GeoJSON, building footprints, and polygons
- Using routing or map matching engines such as OSRM, GraphHopper, Valhalla, or similar
- Cleaning and analyzing GPS trajectories, stop detection, and map matching to road networks
- Designing heuristics and or light ML models for noisy real world data
- Writing readable, tested code and working with Git

Nice to have: PostGIS or other spatial databases, previous work with mobility, fleet, ride hailing, or delivery data.

HOW WE LIKE TO WORK

- Remote collaboration
- Clear scope with agreed milestones and budget on Upwork
- You work directly with the founder, ask clarifying questions early, and propose technical options when tradeoffs appear
- We give quick feedback on designs, metrics, and edge cases

WHEN YOU APPLY, PLEASE INCLUDE

- A brief explanation of why this project fits your background
- 2 or 3 concrete examples of similar work you have done (short descriptions are fine)
- Any relevant GitHub or portfolio links
- Your preferred hourly rate or fixed price for the initial 4 to 6 week scope
- Your availability over the next 1 to 2 months

• What is your availability over the next 4 to 6 weeks?
• Which geospatial tools and libraries have you used in production (for example GeoPandas, Shapely, PostGIS, OSRM, GraphHopper, Valhalla)? Please list them and describe how you used each.
• Given building polygons, manually drawn “acceptable” nav or entry polygons, and historical driver GPS or motion data, briefly outline how you would compute a navigation point and a building entry point for a new address.
• Describe your recent experience with similar projects

We are seeking a skilled freelancer to develop optimal snow plow routes for our city using OpenStreetMap (OSM) data. You will receive an OSM file, the number of plows available, and designated start/end locations. Your expertise in route optimization will be critical to ensure efficient snow removal during winter months. The ideal candidate will have experience in geographic information systems (GIS) and route planning. The solution must provide correct weighting for a real plow (e.g. you can just turn around at the end of each street). Please provide relevant past work examples with your application. If you have a specific software to perform this task that is ideal. A custom python script will likely not get me what I want.

Required Skills:
- GIS software proficiency
- Route optimization
- Data analysis
- Familiarity with OpenStreetMap
- Problem-solving abilities

I am seeking a detail-oriented researcher to produce a comprehensive study covering five chapters on the role of Geographic Information Systems (GIS). The research should encompass theoretical frameworks, applications, and case studies that highlight the impact of GIS across various sectors. The ideal candidate will have a strong background in GIS or related fields and be able to synthesize information from credible sources. This project requires thorough analysis and clear, engaging writing.

I am looking for a talented and creative UI/UX or Web Designer to design a high-quality landing page for Autoplan, a web-based solution that automates the creation of survey plans.
You can view the current tool here: https://autoplan.opengeoworks.org/

The goal is to present the product clearly, professionally, and in a way that appeals to surveyors, engineers, geospatial professionals, and organizations that rely on survey plans.

About Autoplan

Autoplan is a web platform that automatically generates survey plans from uploaded coordinate data. Instead of manually drafting in CAD tools, users can upload their coordinates and instantly get a clean, export-ready survey plan (PDF/DWG).
The landing page should communicate:

What Autoplan does

Who it’s for

The value it provides

How it works

Why it’s faster, easier, and more accurate than manual methods

What We Need

We want a modern, clean, conversion-focused landing page design (Figma preferred). The design should highlight the product, its core features, and its workflow. We only need the design, not development.

Key Sections to Include

Hero Section

Strong headline + subheadline

Clear description of Autoplan

Call to action (e.g., “Generate a Plan,” “Try Autoplan Free”)

Product mockup or illustration

How It Works
A simple 3–4 step flow showing:

Upload coordinates

Autoplan processes data

Preview automatically generated survey plan

Download PDF or DWG

Core Features

Automatic survey plan generation

Support for multiple coordinate formats

CAD-quality output (DWG, PDF)

Accurate bearings/distances and plan annotations

Fast processing

Easy-to-use interface

Who It’s For

Surveyors

Geospatial engineers

Construction companies

Engineering firms

Government GIS agencies

Value Proposition / Why Choose Autoplan

Saves time compared to manual drafting

Eliminates human errors

Ready-to-submit professional plans

Works entirely online

Pricing Section (placeholder)

Simple layout—just design; we’ll add pricing later.

Testimonials (optional placeholder)

Footer

Contact

About

Documentation

Socials (if any)

Deliverables

A complete landing page design in Figma (preferred)

Mobile + desktop versions

All icons, illustrations, colors, and typography included

A clean, modern, consistent design system

Design Style We Prefer

Modern SaaS landing page

Clean, minimal, professional

Lots of white space

Smooth illustrations or screenshots of the tool
Examples of inspiration:

Linear.app

Vercel

Stripe

Notion

Framer templates

Requirements

Proven experience designing SaaS or technical product landing pages

Ability to communicate technical concepts visually

Strong portfolio

Good eye for layout, typography, and clarity

Must deliver within 5–7 days

We are looking for a skilled GIS professional to create a QGIS project based on specific parameters. The ideal candidate will have a strong understanding of GIS principles, and be proficient in using QGIS software. You will be responsible for setting up the project, analyzing spatial data, and ensuring that all requirements are met. If you have experience with GIS data visualization and project management, we want to hear from you!

The first project will have boundaries of a few U.S. states, then counties and regions within that are editable. The other parameters will be overlays of population and treads.

https://github.com/galileo-map/galileo_flutter/issues/1
- [x] Handle Events
- [x] Fix Panning on over-scroll (zoom in/out)
- [x] Fix map controls
- [x] check that vector tiles works properly and configurable from dart (shouldn't be something special)
- [x] fix stretch thing
- [ ] mobile zoom
- [ ] check multiple sessions (2 or more map widgets at the same time)
- [x] Map rendering
- [ ] fix panic after disposing a map outside tokio runtime
```
thread 'tokio-runtime-worker' panicked at /home/dev/.cargo/registry/src/index.crates.io-1949cf8c6b5b557f/irondash_texture-0.5.0/src/lib.rs:263:49:
called `Result::unwrap()` on an `Err` value: WrongThread
stack backtrace:
```
- [ ] Lints and Tests


https://github.com/galileo-map/galileo_flutter/issues/2

https://github.com/galileo-map/galileo_flutter/issues/3
- [ ] if galileo has builtin way for polygon / point rendering we should use that
- [ ] custom widgets on map like (tooltips, images, icons)...
- [ ] make sure it is interactive

I'm producing a map book and accompanying wall print series. I need a cartographer or GIS designer to create high-resolution terrain maps without political borders.

Deliverables:
Wall prints (up to 72 × 50", print-ready):
- World map in 1–2 projections (e.g., Mercator, Winkel Tripel), depending on ratio and maximizing the available print areas for the wall map printers.
- Regional maps: Europe, North America, Asia

Book illustrations:
- World and regional maps with varying label density/sizing from the wall maps
- 7 regional maps (eg. Central Europe)

Specifications — 2-3 different versions with settings like:
- Topographical/terrain base (satellite or rendered — must be a source that can be used for commercial projects!)
- Labels for cities, rivers, mountain ranges, lakes, oceans
- Removal of political borders, but potentially using some other political features or labels
- Print-ready resolution

Looking for:
- Experience with GIS software or cartographic design
- Portfolio with relevant map work

Please share samples and briefly describe your approach.