Geojson trabalhos

Criar função para ser usada no backend django rest de um projeto maior. Essa função receberá parâmetros: 1-vetor shp, gpkg ou geojson, que pode variar de 1km até mais de 1000km 2-segmento máximo do vetor a ser plotado por página (ex: 2km, 5km, 10km) 3-tipo de imagem de fundo (ex. nenhuma, osm, google, bing, própria) 4-zoom da imagem 5-demais vetores com estilo a ser usado na plotagem (pontos, linestrings ou polígonos) 6-dados para o carimbo do projeto (responsável técnico, nome da obra, etc) 7-pode haver necessidade de mais parâmetros... O resultado da função deve ser como o link a seguir: (observe que no pdf, os itens ficam em camadas distintas, e portanto podem ser habil...

...justificada técnicamente), utilizando un conjunto de imágenes proporcionado por mí. El enfoque es académico y aplicado al sector agrícola. Alcance del trabajo Preparación y/o validación del dataset para entrenamiento. Entrenamiento y ajuste fino del modelo de detección. Generación de inferencias sobre nuevas imágenes. Exportación de resultados en formato compatible con SIG (CSV con coordenadas, GeoJSON o shapefile). Documentación básica del flujo de trabajo para poder reproducir el entrenamiento. Entregables esperados Modelo entrenado. Script de entrenamiento e inferencia (Python). Instrucciones de instalación y ejecución (README). Métricas de evaluació...

...clean GeoJSON mask, feeds it—together with my prompt—into an AI model, then returns a layout design image or vector that drops neatly back onto the map in its correct location. Python is preferred for the spatial plumbing (Shapely, GeoPandas, rasterio, etc.) and for orchestrating calls to the chosen generative model. Whether you lean on a large-language model with diffusion, a vector-based generator, or another service is open to discussion as long as it produces an easy-to-read site plan. Deliverables (minimum viable): • OpenLayers front end with draw/select tools and prompt input • Python backend API that receives geometry + text, performs spatial preprocessing, calls AI, and returns the design • Map overlay of the generated layout with basic opa...

...Systems - Strong understanding of graph-based routing - Experience working with directed networks Preferred background - Navigation engines - Logistics / routing systems - Mapping platforms This role is not suitable for someone who has only worked on map visualization or GIS layer analysis without real routing logic. Technologies used - PostgreSQL + PostGIS - pgRouting - Node.js / JavaScript - GeoJSON Notes - I’m open to technical suggestions regarding both tooling and implementation approach. - The API must be fast, with a response time not exceeding 2 seconds. - If this phase is implemented properly and the concept proves solid, there is a strong opportunity to open a dedicated project for the developer to build the routing engine professionally and complete the full ...

I need a small application that, once given a set of latitude-longitude boundaries for a desert sector, automatically pulls the most recent, freely-availa...high-resolution scenes on a daily cadence. You are welcome to mix sources when one is fresher than another. The detector has to work at desert scale, so please build it with an established computer-vision framework (e.g., TensorFlow, PyTorch, YOLO, or a similarly robust model) and output the findings in both human-readable (an image with bounding boxes or a simple web map) and machine-readable form (CSV/GeoJSON with lat/long, time stamp, confidence score). Once I can point the script to a new polygon and receive a list of car and truck coordinates every 24 hours—fully automated, no manual clicks—I’ll consider...

...Filterable attendance history with CSV export • Clear installation guide and concise technical documentation Acceptance criteria: location is captured only when a user is within the predefined radius, duplicate entries are prevented, and the attendance history for a 50-student class loads in under two seconds. If you’re comfortable with tools like Node.js, Django, Laravel, PostGIS, or MongoDB GeoJSON, include your preferred stack and timeline in your proposal....

...clean GeoJSON mask, feeds it—together with my prompt—into an AI model, then returns a layout design image or vector that drops neatly back onto the map in its correct location. Python is preferred for the spatial plumbing (Shapely, GeoPandas, rasterio, etc.) and for orchestrating calls to the chosen generative model. Whether you lean on a large-language model with diffusion, a vector-based generator, or another service is open to discussion as long as it produces an easy-to-read site plan. Deliverables (minimum viable): • OpenLayers front end with draw/select tools and prompt input • Python backend API that receives geometry + text, performs spatial preprocessing, calls AI, and returns the design • Map overlay of the generated layout with basic opa...

...receive tax parcel numbers for each county. What I care about most is rock-solid boundary delineation—nothing approximate or generalized. Each parcel line must register cleanly when overlaid on the raw imagery, standing up to a surveyor’s eye. Wherever imagery gaps appear, I expect you to flag them rather than fill them with guesswork. Deliverables (all required): • A GIS-ready layer (Shapefile or GeoJSON) containing every parcel polygon, snapped and topologically clean • An accompanying metadata file that documents methods, imagery dates, and any control points used • A brief QA/QC report listing checks run, error rates, and any parcels that need follow-up ground verification Acceptance criteria: • Parcel boundaries align to visible physica...

...gatekeepers, local registries, or online sources as long as the final count is accurate. Deliverables • A spreadsheet (CSV or XLSX) listing each plot or unit, company name, operational status, and industry type • A concise 2–3-page methodology report highlighting data sources, assumptions, and key findings • A visual summary: either a colour-coded estate map (PDF) or a lightweight GIS layer (KML/GeoJSON) showing occupancy and industry clusters Acceptance Criteria • Every plot on the estate is accounted for—no gaps, no duplicates • Industry labels are applied consistently across the dataset • All files open correctly and match the figures cited in your report If you already handle site audits or GIS field work, this is a foc...

I have a sizable environmental dataset that needs spatial analysis and clear, actionable insights. The files are already organized, but I’m flexible on format—if you prefer Shapefiles, GeoJSON, or even CSV, I can supply the data in whichever structure lets you work most efficiently. Here’s what I’m after: • A thorough spatial analysis that highlights key environmental patterns, anomalies, or correlations. • Visual outputs—maps, charts, or dashboards—that make the findings easy to present to non-technical stakeholders. • A short written summary explaining your methodology, the tools you used (ArcGIS, QGIS, Python/GeoPandas, etc.), and any recommendations that arise from the results. If additional preprocessing or data cleaning ...

...accurate across counties. Scope (Nebraska only): - Set up a PostGIS database - Obtain authoritative Nebraska PLSS quarter-section polygons from government/open sources (CadNSDI / BLM-derived) - Import PLSS data into PostGIS with correct CRS/SRID - Build backend APIs: 1) Search by legal description (quarter, section, township, range) 2) Identify parcel by lat/lng using point-in-polygon - Return GeoJSON (EPSG:4326) to the app - Replace the synthetic grid with backend results in the Expo app - Build and submit the iOS app to TestFlight / App Store Important notes: - Nebraska only (no nationwide expansion) - No owner/tax data required - No offline downloads required - Accuracy is the priority (county, section, quarter must be correct) - PostGIS / GIS experience is required Bud...

...extraction. Given OBJ-based 3D city tiles and building footprint polygons, the script must select the correct tiles, clip the mesh using the footprint polygon, clean the result, and export a compressed GLB. This is a headless pipeline only (no photogrammetry, no rendering/viewer work). The output will later be deployed on AWS. Responsibilities 1) Tile Selection - Read building footprint polygons (GeoJSON). - Transform polygon coordinates to match the mesh CRS using pyproj. - Detect which OBJ tiles intersect the footprint polygon using Shapely. - Support multi-tile selection and merging when a building crosses tile boundaries. 2) Mesh Loading and Merging - Load selected OBJ tiles into a unified mesh using Trimesh. - If multiple tiles are selected, merge into a single Trimesh obj...

I need an experienced GIS professional to turn my existing spatial files—available as Shapefile, GeoJSON and KML—into clear, decision-ready insights. The focus of the project will be agreed together; it may revolve around urban planning questions, transportation network checks or an environmental overlay, so versatility with spatial analysis, geocoding and compelling data visualisation is essential. The work starts with cleaning and validating the layers, continues through the necessary analyses inside ArcGIS or QGIS, and ends with a set of polished maps, an accompanying brief report that explains methods and findings, and all project files so I can reproduce the results later. If you’re ready to dig into the data right away, let me know the tools you prefer,...

I need to pinpoint where in Sri Lanka beauty-care activations will generate the greatest lift. I already have point-of-i...The end goal is a ranked shortlist of DS, GN, or ward-level areas ready for activation, complete with hotspot heatmaps and a concise activation playbook so commercial teams can move quickly. Deliverables • Interactive dashboard (Power BI or Tableau) • Slide-ready report in PowerPoint summarising findings and recommendations • Cleaned and enriched master dataset (CSV) • All spatial layers (GeoJSON) Acceptance criteria: methodology clearly documented, fully reproducible notebooks/scripts provided, and sensitivity checks included so assumptions are transparent. If that sounds like your wheelhouse, let’s explore Sri Lanka’s ...

...section outlining preprocessing, coherence thresholds, phase unwrapping, and any terrain correction applied. • High-resolution JPEG maps (UTM projected) clearly marking every detected anomaly, overlaid with precise GPS coordinates. • A PDF technical report that explains interpretation logic, provides depth estimates, and flags any data limitations or false-positive risks. • A shapefile or GeoJSON of anomaly footprints so I can import them directly into QGIS. Acceptance Criteria Results must resolve deformation signals or signatures consistent with cavities at the requested depth range and tie those signals to specific coordinates inside the 500 sqm boundary. Maps should be sharp at 300 dpi and all spatial layers must align within ±2 m of ground trut...

...voice guiding the viewer through each step—no on-camera presenter or animation required. A calm, well-paced narration is essential because the audience has never used SW Maps before. Please emphasise the fundamentals (creating a project, capturing waypoints, attribute entry, exporting files) and then focus on the simplest workflow for bringing that data into Google Maps, whether through KML/KMZ, GeoJSON, or direct sharing options inside the app. Consider any of delhi road as an example. Deliverables • Full-HD screen-capture video (MP4) with clean voiceover • An accompanying caption or subtitle file (SRT or VTT) for accessibility • Any project files you used (e.g., the sample data set) so we can replicate the demo in future I will supply the corporate ...

...voice guiding the viewer through each step—no on-camera presenter or animation required. A calm, well-paced narration is essential because the audience has never used SW Maps before. Please emphasise the fundamentals (creating a project, capturing waypoints, attribute entry, exporting files) and then focus on the simplest workflow for bringing that data into Google Maps, whether through KML/KMZ, GeoJSON, or direct sharing options inside the app. Consider any of delhi road as an example. Deliverables • Full-HD screen-capture video (MP4) with clean voiceover • An accompanying caption or subtitle file (SRT or VTT) for accessibility • Any project files you used (e.g., the sample data set) so we can replicate the demo in future I will supply the corporate ...

I’m looking to have a bespoke Google Maps implementation that highlights each Delivery Area we deliver to. The map must: • Layer every Delivery Area boundary on to google maps terrain view - Copy the delivery areas from...Maps implementation that highlights each Delivery Area we deliver to. The map must: • Layer every Delivery Area boundary on to google maps terrain view - Copy the delivery areas from the attatchment. The boundaries can be found I believe on Google Maps by typing in the council area e.g. Shropshire - If you’ve previously worked with custom polygons, GeoJSON, KML, or similar on Google Maps, this should be straightforward. Please include a link to a map you’ve built that uses custom shapes or layers so I can see your approach.

...data models • Ingesting and refreshing large GIS and property datasets • Computing parcel-level spatial metrics (distance, overlap, percentages) • Generating derived geometries (buffers, differences, constraint subtraction) • Building JSON / GeoJSON APIs to support map interactions • Integrating backend outputs with ArcGIS for highlighting and overlays • Supporting scalable filtering, selection, and export workflows Required experience: • PostgreSQL + PostGIS • Spatial indexing and geometry operations • Python (FastAPI preferred) or Node.js • GeoJSON-based APIs • Experience integrating backends with ArcGIS or other web mapping platforms Nice to have: • Experience with Mapbox / MapLibre / Leaflet (in case we move...

I need an online GIS map that lets users explore demographic data in an intuitive, visually engaging way. The core goal is data visualization, so the interface must update dynamically when a user pans, zooms, or applies filters. The dataset you will be working with is strictly demographic; the focal layer is a recent survey map that I will supply in GeoJSON. I want to see familiar metrics such as population density, age, and income rendered, but the map must always default to the survey layer so stakeholders can toggle the others on or off as needed. Key tasks • Set up a web-ready map (Leaflet, Mapbox GL JS, or another lightweight JavaScript library you prefer). • Style each demographic attribute with an intuitive legend and smooth, graduated color scales. &bul...

...already have the POI dataset ready to go; what I now need is a React Native specialist who can wire up Mapbox so that the core map experience is production-ready. Your focus will be threefold: • Map view – initialise Mapbox GL in React Native, centre it on the target city, enable smooth zoom/tilt, and keep performance solid on both iOS and Android. • POI markers – ingest my existing JSON/GeoJSON dataset, plot each location with custom icons, and expose a callback so tapping a marker opens a placeholder details pane. • Simple AR mode – switch from the standard map to a basic augmented-reality overlay that places the same POIs in camera view (ViroReact or a comparable Mapbox-compatible approach is fine). On top of that, I’d like the ma...

...). Slider or input box to hide all zips with less than X conversions (so I can instantly see “cold zones”). Zoom-to-fit my data automatically + search box for specific zip codes. Export the current map view as PNG or PDF (for client reports). Tech requirements (any of these is fine): Mapbox GL JS or Leaflet (Mapbox preferred) Real US ZIP code boundaries (you can download the free Census ZCTA GeoJSON and simplify it, or use a hosted tileset) Pure HTML + JavaScript (so I can host it for free on Netlify / Vercel) Or Python Streamlit if you prefer (also fine) Must be 100% offline-capable after the first load (except the map tiles). Deliverables: Complete source code (GitHub repo or zip) 1-click deploy instructions (Netlify/Vercel or Streamlit sharing link) A short 2-m...

...login—one user role only—just enough to keep the data private without the complexity of multiple permission tiers. Once signed in, the user should land straight on the map, filter layers on or off, search, click a feature, and edit its attributes. Please base everything on standard Mapbox GL JS along with a lightweight backend (PostgreSQL/PostGIS, Firebase, or anything comparably proven) so that GeoJSON layers can be queried and updated smoothly. Responsive layout is important; it has to feel as natural on mobile Safari/Chrome as on desktop. Deliverables • Deployed portal URL plus source code repository • Database schema (eight water-utility layers) and migration scripts • Brief admin guide covering user creation, data upload, and layer st...

...NO es público: es un mapa interno del barrio, usado para guiar a vecinos, invitados y proveedores. --- Objetivo del trabajo Dejar el SVG: Georreferenciado (alineado con coordenadas reales del barrio) Estructurado por capas (manzanas, calles, accesos, perímetro) Listo para que el sistema genere todas las casas automáticamente usando nuestras reglas oficiales Exportado como SVG optimizado + GeoJSON o TileLayer compatible con Leaflet --Reglas oficiales de numeración del barrio (muy importantes) Estas reglas ya fueron validadas por el barrio y aplican a TODAS las manzanas: Todas las manzanas empiezan en la MISMA esquina, marcada en el SVG (punto rojo). Esa esquina es SIEMPRE Casa 1. La numeración continúa en sentido horario por el p...

...distance, buffer, etc.) and toggle thematic views such as colour-coded classifications. On top of that analysis layer, the interface must let a visitor highlight specific areas with an on-screen tool (simple polygon / free-hand highlighter). They don’t need to add text or draw arbitrary shapes—just select one or more zones, see the combined stats and optionally export the highlighted geometry to GeoJSON. Key expectations and deliverables • Deploy the shapefile to a performant web stack of your choice (Leaflet, Mapbox GL JS, OpenLayers, or a similar modern framework). • Build an intuitive UI/UX that mirrors the smooth map interaction of , including responsive behaviour on mobile. • Implement the analytical functions and the highlight-area tool, e...

...carefully annotating both satellite and street-level panoramic imagery. The focus for this phase is the precise outlining and tagging of Buildings only; roads, vegetation, and other elements are not part of the brief right now, so every polygon or bounding box you draw must relate to man-made structures. You’ll be working in a web-based labeling environment that exports standard formats (COCO, GeoJSON), so basic software-engineering literacy and an eye for organized file structures will make the hand-off smoother. Familiarity with geospatial concepts—map projections, scale variation between zoom levels, parallax in panoramas—will help you keep labels consistent across different tile sizes and camera angles. When you apply, highlight your relevant experience: p...

I ne...dashboard The system must include a web-based dashboard with: • interactive map (Leaflet / Mapbox / Google Maps) • AI-detected plots displayed as polygons • click to view cadastral information • filters by size, class, confidence level • option to run AI analysis for a selected town or drawn area ⸻ 4. Report generation The system must produce: • CSV/Excel file with full parcel data • GeoJSON export • optional PDF report with: • map snapshots • detected parcels • basic statistics • AI confidence scores ⸻ 5. Technical requirements • Python-based backend • AI/ML or Computer Vision (TensorFlow, PyTorch, YOLO, Detectron, etc.) • GIS libraries (geopandas, shapely, rasterio) • Googl...

...workflow that follows my existing flowchart. • Embed my provided Python code in the relevant n8n Function nodes (or external scripts, if that is cleaner) so the flow can carry out image and pattern analysis as well as generation tasks. • Respect the LLM rules I will share; they govern how prompts are assembled and how results are post-processed. • Accept PNG files as the primary image input and GeoJSON data as an accompanying spatial layer. • Output the processed results to the destinations specified in the template (currently a local directory and a webhook endpoint). Key expectations – Nodes are clearly named, commented, and logically grouped. – Any environment variables or credentials are surfaced through n8n’s built-in creden...

...format and need to be downloaded, unzipped, and parsed in Python using tools like laspy, PDAL, or Open3D. Expected Outputs • Python function or script that returns: Total window surface area in m² per wall (grouped by azimuth). Optional: visualization (e.g., using Open3D or Matplotlib) for debugging or verification. • Clean, well-commented, modular Python code. • (Bonus) Export to GeoJSON, CSV, or similar. Required Skills • Experience working with LiDAR point clouds (especially .las, .laz) and building detection. • Strong Python programming. • Familiar with tools/libraries like: laspy, Open3D, PDAL, scikit-learn, numpy, matplotlib (Optional) LAStools, PCL, CloudCompare • Knowledge of geospatial concepts (CRS...

...description) that can be clicked or toggled on the map The finished product should open cleanly in Google Maps or Google My Maps and be exportable as KML/KMZ and GeoJSON for any future GIS work. Accuracy must line up with the Harris County GIS base to within a few feet, so please handle georeferencing of the scanned plat before vectorizing. Deliverables 1. Georeferenced subdivision boundary and 19 lot polygons 2. Address points matched to USPS format and visible on the map 3. Embedded attributes (parcel ID, lot size, legal text) in the feature table 4. Shareable Google Maps URL plus downloadable KML/KMZ and GeoJSON files 5. Quick “how-to” note on editing or adding new attributes later I’m ready to supply the plat file and any legal descri...

I deliver verified, location-specific environmental datasets compiled from NOAA, USGS, EPA, and NASA sources. Each dataset includes rainfall, flood, and temperature metrics formatted for AI, GIS, and compliance workflows. Deliverables: • Historical datasets (past decade, daily resolution) • Live or refreshed data feeds (hourly or daily updates) • GeoJSON, CSV, and XLSX layers organized by metric and date • Metadata file with retrieval dates, URLs, and schema definitions • Ready for integration into Google Earth, Cesium, or SWPPP reporting tools All files are cross-referenced, timestamped, and validated for compliance reporting, modeling, and visualization.

...transmission-line corridors, official earthquake hazard zones, government flooding extents, residential settlement footprints, and up-to-date land-use classifications (forestry, agricultural, etc.). The end result should allow me to zoom to any coordinate, see a clear colour-coded suitability view, query individual layers for exact distances or risk scores, and export the findings (shapefile, GeoJSON or CSV) for use in external financial models. Because regulations and infrastructure change, I also want simple instructions so I can swap in fresh datasets without rebuilding the whole project. You are free to build in QGIS, ArcGIS Pro + ArcGIS Online, or a Leaflet / Mapbox-based web app—whichever delivers smooth performance and easy layer control—but please make s...

I have a set of GeoJSON files that describe roads and related features. Before I can plug them into my application, they must be cleaned, organised, and then exposed through Directus as a consumable API. Data preparation The files need duplicate features removed, a single standard coordinate system applied (WGS-84 is ideal), and all geometries validated so every layer is ready for publishing. I normally work with QGIS and PostGIS, so feel free to lean on those or similar open-source tools. Publishing Directus is my first choice. Once the data is loaded, I’ll need REST endpoints (GraphQL is a bonus) that my dev team can query immediately. If Directus proves limiting, we can discuss Supabase or QGIS Server, but start with Directus. Budget & schedule I have roughly A...

We are seeking an experienced Python developer to build a robust, automated software for detecting building footprints from satellite imagery. The goal is to create a pipeline that takes a user's Area of Interest (AOI) and a reference date, and in response, generates a detailed GeoJSON file of all detected building footprints. This solution will leverage super-resolved Sentinel-2 imagery. The workflow will involve processing a cloud-free image composite, applying a super-resolution model, and then running a deep learning model for the core detection task. A key part of this project is the integration of existing Python software components (which will be provided) for cloud-free image generation and super-resolution. The selected freelancer will be responsible for building the...

...system are already implemented — the goal is to complete the Laravel backend, integrate it with the frontend and finish it, and deliver a working MVP ready for App Store / Play Store release within 4 weeks. (The 80% of the frontend it is already developed) -- Scope Finalize Laravel API: authentication (Sanctum + JWT), topics, exams, payments (Stripe), notifications (Firebase). Implement GeoJSON support and map data import (Nominatim + Overpass). Integrate backend with existing React frontend (login, topics, exam, payments, notifications). Build full Postman collection + automated tests. Configure GitLab CI/CD for deployment (staging → production). Prepare production build (cPanel + SSL) and documentation. -- Tech Stack Laravel 11 · MyS...

I’m preparing an environmental-governance paper on the 2019 dry-season crisis in the Lower Mekong (northern Thailand, Lao PDR, Cambodia) and need a polished, publication-ready map produced in QGIS. You’ll receive curated GeoJSON layers for PM₂.₅ and hydrological gauges, plus references outlining threshold values: concentrations above 100 µg/m³ and river discharge below 80 % of reference flow during March–April 2019. Your part is to: • integrate the supplied datasets in QGIS, • run the necessary geoprocessing to isolate the overlap zone where both thresholds are exceeded, • calculate an approximate population count for that zone (your preferred population raster or vector source is fine—just cite it), • design a clear, st...

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I need a high-detail administrative boundary for Udaipur Municipal Corporation delivered as a clean, ready-to-use Shapefile. Accuracy matters: the geometry should align with the latest official limits. Send the file along with a brief note on the date it was last updated. If you already have the layer in hand, this can be a quick turnaround job. Fu...matters: the geometry should align with the latest official limits. Send the file along with a brief note on the date it was last updated. If you already have the layer in hand, this can be a quick turnaround job. Future layers such as roads, wards, or land-use may follow, so organising the attribute table logically now will save us both time later. Deliverable: • One file in .shp, .kml, or .geojson, validated and free of geo...

...mini-track. Suunto Rely on Suunto App SDK. Equivalent UI (sector/gaps/colors, REC flag). Recording mode; send points back to mobile. Offload heavy calc to mobile/backend. Polar Similar approach via Polar SDK: Watch shows gaps/colors/REC; mobile handles projection and gaps. 3) Technical Architecture Backend Node.js + Express (REST) + WebSocket/MQTT. Database: Postgres + PostGIS or MongoDB (GeoJSON). Redis Pub/Sub for real-time fan-out. Services: auth & subscriptions, event codes, route CRUD, telemetry ingest, gaps/records/cheat detection, notifications. API contracts POST /positions: { event_id, user_id, ts, lat, lon, s?, v? }. GET /events/:id/status: { leader_gap, chaser_gap, sector_color, flags }. POST /circuits: { name, polyline, sectors }. POST /recorded:...

...underlying REST, WFS, or tiled-JSON calls rather than screen scraping. I will use the resulting dataset in two ways: first, to overlay zoning classifications on my own web map, and second, to feed the same information into an internal application that cross-references parcels with permit data. To keep that workflow simple, please structure the JSON so each feature carries its geometry (preferably in GeoJSON format) along with all attribute fields returned by the service. Key points I care about • Full coverage of every zoning polygon found on the site, with no geometry errors. • Output delivered as a single JSON file (or compressed archive if size requires). • A repeatable script or notebook in Python, Node, or another language of your choice so I can ref...

I need a small, reliable scraper that pulls the GIS (JSON/GeoJSON) layers showing every district (quartiere/municipio) for each of Italy’s major cities from a well-known real-estate website. The site exposes its map tiles through client-side calls, so the script will have to locate the endpoint that serves the district geometry and capture the full polygon data—not just centre-points. My ideal workflow is straightforward: run the script once, get a single GeoJSON file (or separate files per city) containing the district name, the geometry, and any internal ID the site already provides. Python with requests + aiohttp, pandas, or similar would be perfect, but I am open to another language if it achieves the same clean result and is easy for me to rerun later. ...

I have a web map running on OpenLayers and I’m pulling marker positions from a geoJSON file. The coordinates in that file are accurate, yet every marker shows up in the wrong spot on the map. I need you to dive into the current JavaScript, identify the exact reason for the offset—projection mismatch, mis-ordered lon/lat, or anything else—and deliver a concise fix. A working code snippet or a clearly commented patch that I can drop straight into my project is all that’s required. If you’ve dealt with OpenLayers projections, transforms, or geoJSON quirks before, this should be quick work. Let me know what you’ll check first and how long you expect the correction to take.

...integrate them with Google Maps (or open-source alternatives like Mapbox/MapLibre), and build a simple app (mobile/web) that shows the land parcel when the user shares their GPS location. Phase 1 (Pilot Scope – 5 Villages) 1. GIS Data Processing Convert village cadastral maps (PDF) into usable geospatial format. If raster → georeference with known landmarks (roads, rivers, boundaries). Export as GeoJSON / Shapefile / PostGIS-compatible polygons. 2. Backend Development Set up PostgreSQL + PostGIS database. API endpoint: input GPS (lat/lon) → return parcel polygon + survey number. Spatial queries: ST_Contains, ST_Distance for nearest parcel lookup. Host via Node.js/Python backend (REST/GraphQL). 3. Frontend (Basic App / Demo) Web or Mobile (React / ...

...kilometres away. The search radius can begin within the first 50km from the site of disappearance, and move outward to no more than 150km. Here is what I need delivered: • A Python-based script or small app (TensorFlow, PyTorch, YOLO, or a comparable open-source framework is fine) that ingests raw satellite tiles, runs object detection, and saves bounding boxes plus confidence scores to a simple CSV/GeoJSON. • Clear setup instructions and a brief read-me so I can point the tool at new imagery without touching the code. • One run on sample public data (preferably Google Earth) demonstrating the detections within a 50km radius, and one run on a 150km radius. Feel free to leverage pre-trained weights or lightweight transfer learning; I just need a working prot...

Project must be completed by Friday September 26th. I already have a Canada-wide map with our office regio...deliverables 1. A shareable interactive map (Google Maps or equivalent) that labels each office region with its older-adult count. 2. The aggregated dataset for all regions (data by office region also) 3. Ideally a dataset showing the same region's census data of 65+ as of 2011 as a comparison for growth 3. A short note on your methodology—source table IDs, any GIS steps (ArcGIS/QGIS, GeoJSON joins, etc.), and the date of the census pull—so I can replicate updates later. I’ll supply the current regional boundary layer (shapefile or KML) as soon as we start. If anything is unclear—especially about map display options—let me kn...

I need a browser-based 3D map built with that lets users explore geographical data, with roads and other infrastructure rendered in clear detail. The scene should load smoothly in any modern browser, give me fluid pan-zoom-orbit controls, and keep frame rates high even when the dataset grows. The source data will arrive as GeoJSON files containing road networks and associated attributes; you can preprocess them however you prefer as long as the final output is a single, lightweight client bundle. Terrain or elevation layers are not required; the focus is the man-made network—streets, highways, bridges, overpasses. Visual hierarchy (e.g., thicker lines or different materials for major roads) will help users spot patterns instantly. Colour schemes, legend placement, and basic...

I have a set of geographic data that needs to come to life on an interactive web-based map. The goal is clear: turn raw coordinates and place-based attributes into an intuitive data-visualization experience, where users can zoom, pan, click points or polygons, and instantly see the underlying information. What I already have • Clean CSV/GeoJSON files with latitude-longitude pairs and related fields. • A general color-coding scheme for each category of data. What I need from you • Build the map front-end with a modern library—Leaflet, Mapbox GL JS, or an equivalent you’re comfortable with. • Load my dataset, style it according to the provided scheme, and add hover/click pop-ups that surface key details. • Standard controls (zoom, reset...

(Please only b...notes, and any satellite imagery already on hand. Feel free to draw on additional open-source data or your own soil survey archives, provided everything is properly georeferenced. QGIS, ArcGIS Pro, or similar GIS tools are fine; just keep all layers in standard formats so I can update them later. Deliverables • Georeferenced land-use map highlighting soil quality indicators (layered .shp or .geojson + high-resolution PDF) • Attribute table summarising each field’s key soil metrics and suitability notes for crop planning • Short methodology write-up outlining data sources, processing steps, and recommended update workflow I will review the map against ground truth points; if all coordinates align and soil classifications read correctly, t...

I have a set of geographic data that needs to come to life on an interactive web-based map. The goal is clear: turn raw coordinates and place-based attributes into an intuitive data-visualization experience, where users can zoom, pan, click points or polygons, and instantly see the underlying information. What I already have • Clean CSV/GeoJSON files with latitude-longitude pairs and related fields. • A general color-coding scheme for each category of data. What I need from you • Build the map front-end with a modern library—Leaflet, Mapbox GL JS, or an equivalent you’re comfortable with. • Load my dataset, style it according to the provided scheme, and add hover/click pop-ups that surface key details. • Standard controls (zoom, reset...

...the two formats I work with every day—“Geo pdf” and “Geo tiff”. • Smooth rendering of incoming data the moment it arrives (WebSocket, MQTT, or comparable feed; I’m open to your preferred method). • Intuitive layer control so I can toggle or style the live layer against any static basemap. • Export or snapshot capability that keeps the georeferencing intact when I save a view. Shapefile, GeoJSON, or KML compatibility would be a welcome bonus if it can be added without sacrificing performance. Acceptance check If I push a sample live feed your way, the screen should update within one second while maintaining the correct geolocation. Panning, zooming, and style changes need to stay fluid throughout the test. Feel free to ...