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Serverless Geospatial - Serverless architectures provide an instantly scaleable application environment so that IT infrastructure may dynamically scale up and down to meet the demand of both machine and human users. In this interview with Tomas Holderness walks us through the pro's and con's of serverless architecture with regard to geospatial use cases
This podcast is sponsored by OpenCage Geocoder
OpenCageData does not make maps or provide routing information, they focus on turning address or place name to coordinates and coordinates into addresses or place names and they are amazing at it! If you need help with geocoding OpenCage Geocoderis what you are looking for.
Geospatial standards, like any standard, are what we agree on as a community. It’s a way to describe how we model geospatial data, exchange it, subset it, process it, visualize it, or reference it. We need standards because we share and integrate data, and we solve complex problems.
Google Earth Engine is acloud computing platform for scientificanalysis andvisualization of geospatial data sets. It isfree to use for research, education, and nonprofit. Google Earth Engine is essentially streaming data. You don’t need to go online to download the data — you just need a browser, and you can access the entire Google Earth Engine data catalog and a bunch of tools to do the analysis and visualization.
