Projects using ArcGIS
Projects using ArcGIS
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Yong Zhang
Ocean Environmental Monitoring & Pollution Drift Visualization
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Rabbani Rasha Alvy
Spatial UI - Gaming Platform
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Andi Ramdani
Recently completed a GIS-based desktop study for a gold exploration project in Pahang, Malaysia, covering areas around Lipis, Jerantut, and Raub. As a GIS Analyst, I worked on compiling and integrating multiple spatial datasets to support preliminary assessment and planning of potential exploration areas. The analysis and mapping included: • Regional geological mapping • Geomorphological analysis • Satellite imagery interpretation • Gold occurrence and resource visualization • Accessibility and surrounding area analysis • Quarry/resource mapping • Project planning and infrastructure mapping • Permit application mapping The workflow involved combining geological and mineral occurrence data with terrain, satellite imagery, road networks, waterways, and project boundaries to create clear and structured thematic maps for desktop-level assessment. The maps were developed using ArcGIS with a focus on consistent cartographic standards, spatial accuracy, and presenting complex geospatial information in a format that can support further exploration planning and decision-making. This project was a great opportunity to apply GIS not only for visualization, but also as a tool for integrating geological, environmental, and spatial information into a more structured exploration workflow. 📍 Pahang, Malaysia 🗺️ GIS Analysis & Cartography ⛏️ Gold Exploration Desktop Study
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Emily G
🗺️ Map design is where technical GIS data meets user adoption. For this ArcGIS API project, we engineered a dynamic spatial intelligence tool—featuring custom polygon territories, real-time geocoded competitor benchmarking with interactive popups, and clean SVG pin UI layers. Result? Clients turn complex competitor metrics into clear, actionable site selection insights instantly ⚡
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Ahmad Mustafa
🗺️ Web GIS for Field Operations & Location-Based Data Collection I developed an interactive geospatial platform designed to help teams visualize, manage and update field-work information directly on a map. The application combines Web GIS, satellite imagery, spatial data management and field reporting in a single workflow. Key capabilities include: • Interactive field map with spatial work areas • Color-coded work / prescription classifications • Multiple GIS sub-maps and project views • Satellite and OpenStreetMap basemap switching • Work completion and status tracking • Location-based field-point creation • GPS coordinate capture • Field categorization and notes • Photo attachment support for field observations • Map-based project and team workflows The goal is to replace disconnected field records with a centralized spatial workflow, where teams can see exactly where work is required, record observations from the field, and maintain geographically accurate project information. Built around Web GIS, spatial databases and interactive mapping. Interested in projects involving GIS development, field-data collection, asset management, spatial dashboards and geospatial workflow automation.
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Sadaqat Ali
Designed and developed an interactive web visualization application featuring dynamic maps, data dashboards, and user-friendly analytics. The platform enables efficient exploration of complex data through responsive and visually engaging interfaces.
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Aneeq Abbasi
Performed county-level spatial analysis by integrating clinical trial site data with U.S. socioeconomic datasets, classifying median household income ranges, and producing a choropleth map to visualize geographic disparities in clinical trial coverage.
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Daniela Lucia Troncoso Hernández
Flood map susceptibility
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Gabriel Homoky
AERIAL RENDERS - MANCHESTER AIRPORT HOTELS
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Sunbeam Rahman
Forest health assessment using GEOBIA
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HONGDAN CHEN
From static maps → interactive spatial experiences. 🚀 Recently experimented with building a Geo-inspired commute dashboard using Vibe Coding + geospatial visualization. The interesting shift for me: Instead of spending days moving between GIS software, frontend development, and UI iteration, ideas can become working interfaces much faster. Still early, but it opens up interesting possibilities: → spatial analytics that feel more accessible → interfaces ready for predictive layers and AI workflows → reducing the barrier between geographic data and end users Curious where GIS + AI + Vibe Coding goes next.
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Michael Jeffreys
Fiber Optic Field Operations PWA (19,000 Lines)
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Dian Eka Putra
Technical & Engineering
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Andi Ramdani
Geomorphological Mapping Project | GIS Analysis Just wrapped up a geomorphological mapping project for a site located in Pasir Gadung Village, Pandeglang, Banten. This work focuses on identifying landform characteristics and terrain variation to support better spatial understanding and decision-making. In this map, I combined elevation data, contour analysis, and spatial interpretation to classify geomorphological units—highlighting areas dominated by undulating hill formations. The red polygons represent the project activity zones, supported by coordinate points collected from the field. I also included a cross-section (A–B) to visualize terrain changes more clearly, giving a better perspective of slope variation and landform structure across the site. Tools & Approach: - GIS processing and spatial analysis - Contour and elevation modeling - Geomorphological interpretation - Map layout and visualization This kind of analysis is essential for projects related to land development, environmental assessment, and infrastructure planning. Always open to feedback and collaboration—let’s connect 🚀
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Emily G
🏔️ Most organizations sit on mountains of spatial data they can't interpret fast enough. For the Census Map Application, we didn't just digitize demographic data—we built an automated spatial intelligence layer using 🤖 AI to turn raw census boundaries into real-time predictive insights 📊. Result? Decision-makers cut territory planning time from days to minutes ⚡
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Ahmad Mustafa
GIS-based spatial analysis and mapping project using ArcGIS, QGIS, and Remote Sensing data. Developed accessibility, land use, and spatial distribution maps to support urban planning and decision-making.
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