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All input feature classes sit in a single gdb and the work must be completed entirely with ArcGIS raster functions. First, create a Euclidean distance raster from every secondary school to the nearest fast-food restaurant, then reclassify that surface into quantile classes. Repeat the procedure for distance to the nearest park, also classed by quantiles. Next, derive a vegetation index for the whole of Toronto (NDVI or ArcGIS-ready equivalent) and classify it into quantiles as well. Combine the three classified rasters to highlight neighbourhoods where schools are simultaneously farthest from fast food, closest to parks, and surrounded by high vegetation. Produce one clear, publication-quality map that visualises this composite result. Include: • Consistent, intuitive colour scheme for each criterion • Legend, title, north arrow, and scale bar • Screenshot of the complete Model Builder workflow used to generate the outputs Deliverables: high-resolution map (PDF/PNG) and the Model Builder image, supplied within two hours of project start.
Project ID: 40658521
12 proposals
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Active 6 days ago
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Hi, I can build the distance, reclass, and raster-composite workflow in ArcGIS, then present the final surface on a clean publication map with clear symbology and layout elements. With more than 10 years in GIS and remote sensing, I have handled spatial analysis and cartography in ArcGIS Pro and ArcMap for applied research, including raster-based environmental mapping and model automation in Python and ArcPy. If you share the gdb and the preferred output extent for Toronto, I can prepare the map and Model Builder capture as soon as the inputs are in hand. Best regards, Sujeewa GISPromo IT Solutions
$140 CAD in 5 days
7.3
7.3
12 freelancers are bidding on average $139 CAD for this job

Hi Good morning, I’ve thoroughly reviewed your project details and am fully confident in my ability to deliver exceptional quality that meets and exceeds your expectations. My core expertise lies in ArcGIS School Environment Raster Map. Why choose me? ✅ Unlimited Revisions: I will fine-tune the work until you are 100% satisfied. ✅ Full Ownership: All final source files along with complete copyright transfer are yours. ✅ Guaranteed On-Time Delivery: Deadlines are respected, no delays. ✅ Quality Assured: High-standard output designed to bring your vision to life. I am available and ready to start working on this right away. I’d love the opportunity to collaborate with you and turn your ideas into reality. Let’s connect over a quick chat to discuss the details! Best regards, Muhammad Asim Khan
$30 CAD in 1 day
4.0
4.0

Hello, The key part of this project is **building a fully raster-based ArcGIS workflow that blends school proximity, park access, and vegetation into one clear composite map**. I can help you handle this accurately and efficiently without overcomplicating the process. I have hands-on experience with **Data Processing, Data Visualization, and Excel**, including turning layered datasets into clean, decision-ready outputs. For your project, I would focus on **Euclidean distance rasters**, **quantile reclassification**, and **Model Builder documentation**, while making sure the final result is **publication-quality and easy to interpret**. I can start immediately and expect to complete this within 2 hours. One detail I'd like to confirm before starting: **should the final composite favor equal weighting of all three criteria, or do you want one factor emphasized more?** Best regards, Miguel
$150 CAD in 2 days
2.4
2.4

Hi, I'm Chris, a full-stack and automation engineer. This is a clean ArcGIS raster-suite job: everything stays in raster functions off the single gdb. I'd run Euclidean Distance from secondary schools to nearest fast-food and to nearest park, reclassify each into quantile classes, then build NDVI for Toronto (or an ArcGIS-ready veg index if you lack NIR imagery) and quantile-class that too. Combining them so "far from fast food + near parks + high vegetation" scores highest is either a weighted sum or a raster-calculator formula on the three classed surfaces. I'll deliver the composite as a layout with consistent per-criterion ramps, legend, title, north arrow, scale bar, plus a Model Builder screenshot, exported to PDF/PNG. One thing that decides the build: do you have a NIR band for true NDVI, or should I substitute an ArcGIS vegetation raster?
$214 CAD in 9 days
0.0
0.0

Hello! I'm Toyeeb Olawale, a skillful data and business solutions specialist excited about bringing my expertise in data processing, data visualization and Excel to this ArcGIS raster project. I've developed a wide-ranging set of skills over my career that I believe will meet your unique needs. With strong proficiency in Power BI, PowerApps, Google Sheets and R programming, I've geared towards helping businesses streamline processes and make better data-driven decisions - exactly the sort of expertise you require. My biggest strengths are my clarity in communication, meeting deadlines and tailoring solutions to my client’s needs. I ensure that the insights I draw from data are actionable and relevant, which is fundamental for your project. Let me provide you with elegant and publication quality outputs; a high-resolution map (PDF/PNG) alongside a Model Builder image with sufficient documentation to facilitate future revisions or duplication on similar projects
$140 CAD in 3 days
0.0
0.0

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