@dandekadt @joshbudlender@jdbothma@adrianfrith@spikekerr@Takwanisa @mxolisi__zondi @TimothyKohler Great points. I think once you’ve done the spatial join you can then decide how you want to approach this. So whether you want to use @jdbothma approach and filter data to only take the largest area overlapping. Or develop a bit more nuance for more complex boundaries.
@urbanjodi Using the web tool you could also look at the absolute or percentage change view to compare these in a single view and identify more specific trends.
@urbanjodi We have addressed this in the latest version of the data and will be included once the website is officially released. I would suggest comparing 2014-2019 for this particular variable.
Today we launch work I completed aggregating and spatialising South African Administrative tax data that can be used by municipalities (and hopefully other stakeholders) to better understand formal economic activity in South African cities. Register here: https://t.co/MH4lTGI4zf
Fresh in press! New open access article published in @Sus_MDPI wit Luis Guzman and Rafael Cardona from @inguniandes. #Accessibility Changes: Analysis of the Integrated Public Transport System of #Bogotá https://t.co/ZP8c1Fmvqs
I mapped the # of unauthorized immigrants apprehended by U.S. Border Patrol along the U.S.-Mexico border from 1960 through 2017. The notion that the U.S. is experiencing an immigration crisis is not supported by this data. Border apprehensions in 2017 were the lowest since 1971.