The approach you take to data logging will vary based on your needs.
Looking over the invoices for council I found $##redacted (large sum of money, larger than I was ultimately aloud to publish on the infographic or my blog ) being spent on illegal dumping every year. That is an impressive sum of money for a small city. So I’m producing a map to show the annual cost and distribution of illegal dumping in the City; while telling the story of how long it take the council to pick the trash up. The data has been collected using Survey123 and Workforce and visualized in ArcGIS pro.
We often find ourselves collecting and maintaining data. For GIS applications we use this data to answer questions about the world around us. Quite often the sheer quantity of data is overwhelming and the more we collect the harder it is to give a simple answer.
This project is going to use Hexagon bins for the Motutapu Restoration project data. If it’s successful I will be able to report on disparate data sources by binning it into a hexagon grid across the island. This will allow me to report temporally for the islands data records using one feature service, a hexagon grid.
GeoJSON data is available from ramm.com about our cities bridges. To make it available for our engineers it needs to loaded to a local database. There are lots of metrics stored there too which can change daily, so we need to do this every night. Let’s automate it with python!
As a GIS professional your workflow very likely includes the acquisition of data to solve problems. In this post I’m going to be laying out a guide to Satellite geospatial data. Hopefully this will make finding data you don’t work with everyday a little easier.