https://spatialanalysis.github.io/post/ Recent content in Posts on Learn Spatial Analysis | Center for Spatial Data Science Hugo -- gohugo.io en-us © 2018 Center for Spatial Data Science Mon, 01 Jul 2019 00:00:00 +0000 https://spatialanalysis.github.io/post/reflections-on-our-2018-2019-workshops/ Mon, 01 Jul 2019 00:00:00 +0000 https://spatialanalysis.github.io/post/reflections-on-our-2018-2019-workshops/ A successful year of workshops It’s summer at the CSDS, and that means we’re taking some time to reflect on the year and get ready for the year ahead. Our quarterly workshops have ended, and we have successfully run two research computing bootcamps. Our last bootcamp of the year, Introduction to R for Geospatial Raster Data, introduced researchers and geospatial data practitioners to using R for raster data analysis. It was the final event of the newly-organized Geospatial Science Symposium at UChicago, organized by Marynia Kolak and the undergraduate YouthMappers chapter, the Tobler Society. https://spatialanalysis.github.io/post/geospatial-raster-data-workshop/ Tue, 07 May 2019 00:00:00 +0000 https://spatialanalysis.github.io/post/geospatial-raster-data-workshop/ Our second Data Carpentry workshop We are hosting our second Data Carpentry workshop at the Center for Spatial Data Science on May 31, 2019, this time, on introduction to R for geospatial data. Previously, we ran a full-day R for Social Scientists workshop to introduce researchers to the programming language. We had 30 individuals attend, including undergraduates, graduate students, postdoctoral students, and faculty, along with one or two individuals outside of academia. https://spatialanalysis.github.io/post/spring-quarter-workshops/ Tue, 30 Apr 2019 00:00:00 +0000 https://spatialanalysis.github.io/post/spring-quarter-workshops/ Reflecting on last quarter’s workshop This past quarter, we ran a workshop geared toward upskilling our center’s researchers through a series of 8 modular units focused on GIS operations in R, and later visualization. Each workshop was designed to provide a concrete chunk of learning that would help researchers with a specific task in R. The notes from the workshop were referenced by researchers outside of our center and served as a useful record for those who could not always make it to in-person workshops. https://spatialanalysis.github.io/post/r-for-social-scientists/ Fri, 01 Mar 2019 00:00:00 +0000 https://spatialanalysis.github.io/post/r-for-social-scientists/ For our researchers During my weekly R Spatial Workshop, I teach the basics of how to make maps and work with spatial data in R to researchers. The topics we cover are mainly GIS and visualization focused. However, researchers often need to work with data in ways outside of these two specific areas. Learning to clean and manipulate tabular data is a useful skill for many researchers as it allows them to work more efficiently. https://spatialanalysis.github.io/post/workshop-notes-online/ Fri, 25 Jan 2019 00:00:00 +0000 https://spatialanalysis.github.io/post/workshop-notes-online/ What’s new Notes from our weekly R Spatial Workshop are now online this quarter. Developed by Angela Li, these notes cover spatial data import, visualization, and analysis. Detailed writeups from each session are included, as well as links to scripts written in the workshops. We hope this helps researchers who have to miss a session, or interested individuals who aren’t able to join us in person. As always, you are welcome to attend our sessions, which take place at Searle 240B at noon on Tuesdays. https://spatialanalysis.github.io/post/launching-spatial-analysis-site/ Mon, 10 Dec 2018 00:00:00 +0000 https://spatialanalysis.github.io/post/launching-spatial-analysis-site/ Who we are Led by Luc Anselin, we’re a group of students, staff, and faculty at the University of Chicago who use spatial methods in our research and teaching. As spatial thinkers, we’re excited to launch this site to teach introductory spatial analysis. Over the next few months, we plan to build out teaching materials based off of Luc Anselin’s spatial data courses at the University of Chicago. Our goal is to demonstrate how you can get started with exploratory spatial data analysis, including spatial dependence and spatial modeling.