Learn how to use image processing and remote sensing techniques in R and ArcGIS to digitize spatial data from image or PDF files.
Learn how to use image processing and remote sensing techniques in R and ArcGIS to digitize spatial data from image or PDF files.
A guide to transforming open geospatial data into slippy map tiles to display in Leaflet or OpenLayers using PostGIS, QGIS, and QTiles.
My experience joining the Operations Team at Azavea. This was the first time my colleagues used the Breakable Toy apprenticeship pattern.
How to use R to turn disparate environmental data into clean, usable raster data that can be fed into a MaxEnt species distribution model.
Evaluating machine learning models in R with a focus on how to handle biased and imperfect data, specifically volunteer collected marine debris data.
Here are our key takeaways from SatSummit and some thoughts to help drive innovation related to earth observation data toward impactful solutions.
In September 2018, a free exhibit opened to the public on the history of redlining in Philadelphia. Read about how our Data Analytics team was involved.
How to categorize, clean, filter, and prepare Philadelphia’s campaign finance data for analysis, mapping, and visualization.
An analysis of areas vulnerable to utility insecurity completed for the Legal Clinic for the Disabled as part of the Azavea Summer of Maps program.
The 2018 Atlantic hurricane season is the second in a row to feature three simultaneous storms–the most recent, and most dangerous being Florence which reached Category 4 status earlier in the week (now at a Category 2) as it moves within a day of the Carolinas and US Mid-Atlantic Region. NOAA has a full suite…