Data Source: Climate and Weather

I'm gonna jump back into an older Spatially Challenged series-- data sources. The National Oceanic and Atmospheric Administration manages all sorts of great resources, and they like short and memorable urls (weather.gov, for instance). Today I'm talking about climate.gov, which is a great source for maps and zip code level weather data. Let's start with… Continue reading Data Source: Climate and Weather

US Satellite Images and #NoPlant19

Those of you complaining about the weather may feel validated by this headline from CNN (article here). For the over 1 in 10 Americans work in agriculture and related industries (source), this has real consequences. The increased rain this spring delayed planting, and in some places planting was prevented altogether. The Washington Post has some… Continue reading US Satellite Images and #NoPlant19

Geographically Weighted Regression in SAGA

Since I mentioned kernels last week, I figured this would be a good time to go over the geographically weighted regression (GWR) procedure in SAGA. Once again, I don't have good example data I can post online for this topic, so you'll have to forgive the lack of pictures. GWR is an interesting method with… Continue reading Geographically Weighted Regression in SAGA

Vocab Words: Euclidean and Cartesian

Here on Spatially Challenged, I post things people ask me about. The bigger topics (SAGA GIS, data sources, Word tricks, etc.) get turned into series of how-to posts, and the smaller questions inspired a series of vocab posts. Today we're talking about the words Euclidean and Cartesian. Euclidean means "related to Euclid." Euclid was a… Continue reading Vocab Words: Euclidean and Cartesian