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Learn about Geospatial Analysis with the National Student Data Corps! What is geospatial data and why is it so important?

Sherrie Xie, Post-doctoral research fellow at the University of Pennsylvania gave a workshop at the R/Medicine 2022 Virtual ...

... and to avoid encountering negative surprises we provide best practices, strategies, and tricks when modeling huge spatial data.

A overview of Geospatial Data Modelling including Conceptual models (ontologies) Digital representation models Analysis ...

An introduction to spatial data analysis for data scientists.

Esri Curriculum Module.

Data: https://datacarpentry.org/semester-biology/data/neon-geospatial-data.zip Full lessons (including multiple videos and ...

This video is an introduction to vector data and how to work with it in R. Vector data includes all kinds of spatial data that are not ...

by Jenny Palomino Attendees will learn about geoprocessing, analyzing and visualizing spatial data using Python and how it ...

An overview of performing various spatial data analyses in R.

This video is part of the virtual useR! 2020 conference. Find supplementary material on our website https://user2020.r-project.org/ ...

PhD course. For more details see: https://www.nhh.no/emner/analysing-spatial-data/ Data sets and code available at: ...

PhD course. For more details see: https://www.nhh.no/emner/analysing-spatial-data/ Data sets and code available at: ...

PhD course. For more details see: https://www.nhh.no/emner/analysing-spatial-data/ Data sets and code available at: ...

Geospatial Education at Penn State. For more information go to www.pennstategis.com or https://gis.e-education.psu.edu/

"Uncharted Territory: An Introduction to Making Clear and Accurate Maps" Speaker: Ayanthi Gunawardana Abstract: Over the ...

This lecture introduces core statistical frameworks for analysing spatial transcriptomics data, focusing on the distinction between ...

In this video we talk about how we deal with the fact that the earth is a globe when making maps.

Crime data often contains spatial components. As a result, analyses of crime data can create patterns that are clearly linked to ...

We introduce the python shapely library for manipulating polygons.