Summary
In this chapter, we learned how to edit shapefiles and perform spatial and attribute selections. We created thematic maps from scratch using only Python. We also imported data from spreadsheets. Then, we parsed GPS data from NMEA streams. We used geocoding to convert street addresses into locations and back. And finally, we learned how to speed things up with parallel processing.
As a geospatial analyst, you may be familiar with both GIS and remote sensing, but most analysts specialize in one field or the other. That is why this book approaches the fields in separate chapters – so that we can focus on their differences. As we mentioned in the introduction, the techniques in this chapter are the building blocks for all geospatial analysis and will give you the tools you need so that you can learn about any aspect of this field.
In the next chapter, we’ll dive into remote sensing. In GIS, we have been able to explore this field using pure Python modules. In...
