– It All Starts Here


Scott Parks

Crescent City, CA, USA

Please view my portfolio for all the details:

I have solid experience with PostgreSQL/PostGIS, GDAL utilities (ogr*, gdal*, etc), doing spatial analysis with vector and raster data sources using various scripting languages, particularly SQL and Bash. I also have significant experience with web development and Linux system administration/AWS.

Tile-less Maps
Having 10 years of experience maintaining OGC compliant MapServer/MapCache (WMS,WFS,WMTS) and all that implies, I’ve recently created a highly performant web client/app using only vanilla JavaScript/HTML/CSS and 9 raster/18 vector data layers in cloud storage (S3). No back-end servers, micro-services, tile-caches, containers at all. It uses only Cloud Optimized GeoTIFF (COG) and FlatGeobuf (FGB) raster/vector data. See ‘Serverless’ in my portfolio for all the details and full slippy map example.

Flood Hazard Map/API is my hazard/peril map with 25 raster layers. FEMA flood hazard is updated daily as are weather layers. Hurricane/fire data is updated 4 times daily. Double clicking will return 14 current perils, such as, FEMA flood category, hurricane forecast storm surge, maximum storm surge cat1-5, wildfire and earthquake risk. Violent events from ACLEDData is updated weekly or daily. I’ve created a point hazard API to return 14 perils at a given coordinate that makes this map so useful.

Faster Raster Pixel Acquisition
Getting data out of your data store in the fastest possible manner is paramount. I’ve created a process for this purpose. Best case, this API will return a single pixel at 365K coordinates per second from a random, unique set of 10M coordinates using an average multi-core single processor. A realistic production example, it will return 14 pixels from 14 different raster sources at the rate of 4,800+ coordinates per second and it’s mind-numbingly simple.

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Thank you for your time and I look forward to hearing from you!

Scott Parks

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Posted 2023-04-16 under Geospatial