GIS Development : Geospatial, Mapping, Interactive GIS Apps

Pro

Pavel Nefir

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About this service

Summary

As a GIS Developer, I specialize in building high-performance geospatial applications that enable data-driven decision-making. I offer custom GIS solutions, including interactive web maps, spatial analysis tools, and geoprocessing automation using modern technologies like Leaflet, Mapbox, OpenLayers, and Python GIS libraries. What makes me unique is my ability to optimize GIS performance for large-scale datasets, integrate GIS with real-time data streams and APIs, and create user-friendly spatial tools tailored to business needs.

Process

1. Project Planning & Requirement Gathering
Understand client requirements and the purpose of the GIS solution.
Define the scope, objectives, and expected deliverables.
Identify necessary data sources (satellite imagery, shapefiles, DEMs, GPS data).
Choose appropriate tools and technologies (QGIS, ArcGIS, PostGIS, Python, CesiumJS, etc.).
2. Data Collection & Preparation
Acquire geospatial datasets (e.g., OpenStreetMap, satellite imagery, LiDAR data).
Convert data into the required formats (Shapefile, GeoJSON, KML, 3D Tiles).
Clean and preprocess data using QGIS, GDAL, or Python (Geopandas, Shapely).
Store and manage large datasets in PostGIS, MongoDB, or cloud storage.
3. GIS Software or Web Application Development
Develop a web or desktop GIS application based on project needs.
Use Leaflet, OpenLayers, or CesiumJS for interactive maps.
Implement GIS functionalities such as geocoding, routing, spatial analysis, and 3D visualization.
Optimize for performance (LOD, tiling, caching).
4. Backend & API Development (If Required)
Build a backend to manage geospatial queries and processing (Node.js, Python, or Django).
Implement RESTful or GraphQL APIs for serving GIS data.
Secure the API with authentication, rate limiting, and data access controls.
5. Testing & Optimization
Test the application for performance, accuracy, and data integrity.
Optimize map loading speed, 3D rendering, and spatial query performance.
Conduct stress tests for handling large datasets and concurrent users.
6. Deployment & Client Handover
Deploy the application on Vercel, AWS, Google Cloud, or a dedicated GIS server.
Provide documentation for users and developers.
Train the client on how to use the GIS tool.
Offer ongoing support and updates.

What's included

  • GIS Applications & Web Maps

    - Interactive web maps (Leaflet, Mapbox, OpenLayers, ArcGIS API) - Custom GIS web applications (React, Node.js, Python/Django, etc.) - Mobile GIS applications (Android/iOS)

  • Geospatial Analysis & Reports

    - Spatial analysis (buffering, clustering, spatial joins) - Terrain modeling (DEM, slope, aspect analysis) - Suitability analysis and decision-making models - PDF/HTML reports with maps, charts, and analysis summaries

  • API & Integrations

    - GIS API development for spatial data access - Integration with Google Maps, OpenStreetMap, ArcGIS, etc. - REST/GraphQL APIs for geospatial data

  • GIS Data & Databases

    - Processed and cleaned geospatial datasets - Spatial databases (PostGIS, MongoDB, etc.) - Data conversion (e.g., Shapefiles to GeoJSON, KML, or CSV) - Georeferenced raster and vector layers

Skills and tools

Frontend Engineer

Fullstack Engineer

Software Engineer

ArcGIS

Leaflet

Mapbox

Openlayers

QGIS

Industries

Mapping Services
Geospatial
Data Visualization

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