First of all, a big thank you to @gregoiregilbert for hunting cited.io. The target customers for this product fall into a couple of categories. The largest market would be app developers with the need to integrate dynamic maps into web or mobile applications. Following the release of our open source product, we had a lot of feedback that product creators were looking for more better options to integrate maps into apps. We have developed SDKs for almost all key development platforms including iOS, Android, Python, node.js. We also understand the cost sensitivity to developers and have leveraged the technology to be able to bring these tools to the market and affordable prices for those just getting started.
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This looks really interesting Rob. I will deep dive a bit later, but looks very promising from first look.
While the array of platform SDKs are likely what will interest developers most, the part of the project I am most excited about is the GDAL 2.0 API. With GDAL available via the API, you not only have the ability to move data across platforms, you can actually transform and process your spatial data formats as well. That's something which any individual or organization working with spatial data can benefit from. Regardless of what format your raster and vector spatial data is in, you can transform it to any other format, process it, and move it across any boundaries and to any platform. The API accepts all GDAL import, export, and creation options as well as information options (ogr2ogr, gdal_translate, ogrinfo, and gdalinfo).
DaphnaBI
