Top Tweets for #Pysal
GEE Tutorial 110 - Creating choropleth maps with 15 classification schemes to choose from
Video: https://t.co/F86Mm3ttmH
Notebook: https://t.co/Wos6stgGT0
#EarthEngine #geemap #geospatial #pysal #dataviz #gischat
The problem with heatmaps: they can make patterns visible even when, in reality, there are none.
Spatial statistics can help: Local Moran's I can be used to test for significant clusters and outliers.
#gischat #spatialstats #rstats #pysal
Nice function in #pysal for creating a Voronoi tessellation from a set of points https://t.co/bpYfQThrGe #gischat #spatialstats
Can anyone explain how it is possible to have a local spatial Pearson correlation coefficient < -1 ? The below follows the Spatial_Pearson_Local() example in @pysal_devs. Shouldn't it be limited to the range of -1 to 1?
Source: https://t.co/LTkqRGOv7S #gischat #pysal
The Center for Geospatial Sciences is proud to announce the release of our 2017-2020 Activity Report, which highlights the work our center has completed since its inception as well as our ongoing initiatives and projects. The full report can be viewed at https://t.co/9SpIwkBTX3.
Also, shoutout to @LeviJohnWolf, @JamesGaboardi, @QunshanZhao, @TaylorOshan & Jeffery Sauer for mentoring the #PySAL @GSOC students in their projects!
#PySAL had the pleasure of hosting three @GSOC students over this summer, who worked on projects related to spatial data science & more. Thank you @LenkaHas, @NoahBouchier & @Gegen_07 for all of your great work! Check out their projects at https://t.co/XvxIKVOV1p.
#UCRCGS Director Sergio J. Rey (@sreyog), Associate Director Elijah Knaap (@knaaptime), & some of our affiliates: Dani Arribas-Bel (@darribas), James Gaboardi (@JamesGaboardi), Levi John Wolf (@levijohnwolf), & Stefanie Lumnitz (@stefanielumnitz), contributed to #PySAL 2.5.0!
🚨 #PYSAL UPDATE: 🚨 PySAL 2.5.0 has officially been released! This new release represents 6 months of enhancements, bug fixes, widening of test coverage, and improved documentation. Read more about the changes at https://t.co/WDLlKOFTFb.
🚨 #PYSAL UPDATE: 🚨 PySAL 2.5.0 has officially been released! This new release represents 6 months of enhancements, bug fixes, widening of test coverage, and improved documentation. Read more about the changes at https://t.co/WDLlKOFTFb.
Today's #PySAL Package highlight is libpysal, which provides the foundational algorithms and data structures that support the rest of the PySAL library. Learn more at https://t.co/loLQo3yM6S.
@JonathanColmer @TradeDiversion @sharatganapati @TrebAllen @ReddingEcon @HansbergRossi There is plenty of material for spatial econometrics in #rstats. See this book by @RogerBivand & @edzerpebesma 📗https://t.co/XYXg73DWdK.
There's also lots of material in #python from the team at #pysal @sreyog @darribas et al
Today's #PySAL Package highlight is access, which provides classical and novel measures of spatial accessibility to services. Package development was spearheaded by members of @GeodaCenter and @SpatialUCR. More information on access can be found via https://t.co/BjBNuYpglo.
.Footprint from Helsinki #osmnx #geodata #spatialanalysis #invitedesearcher IG @invited_researcher #Python
#pysal #geodata
Today's #PySAL Package highlight is tobler, an open-source Python package for areal interpolation, dasymetric mapping, change of support, and small area estimation. More information on tobler can be found via https://t.co/HNHEVUEaVt.
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