Reddit Reddit reviews An Introduction to R for Spatial Analysis and Mapping

We found 5 Reddit comments about An Introduction to R for Spatial Analysis and Mapping. Here are the top ones, ranked by their Reddit score.

Science & Math
Books
Earth Sciences
Geography
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An Introduction to R for Spatial Analysis and Mapping
Sage Publications Ltd
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5 Reddit comments about An Introduction to R for Spatial Analysis and Mapping:

u/Avinson1275 · 29 pointsr/gis
u/fiftycircles · 16 pointsr/gis

The first programming-related thing a company would look for in a candidate for a purely GIS job is Python, no doubt. Especially if you're brand new to programming, start with Python. If you're proficient in ArcGIS already, I recommend this book. You can also start with the easy online tutorials like Korlyth mentioned, but remember that you won't truly learn Python unless you apply it. Come up with a project and practice using your new skills. Then, if an employer asks for a portfolio, you have some good examples to share! A good example would be to analyze a large Excel file, import that data into ArcGIS, make some shapefiles from the data, and then maybe run some spatial analysis on those shapefiles-- ALL within your Python script (you don't even have to open ArcMap!). The big advantage is using Python for automation of repetitive tasks. It's tedious to do some analysis for all the individual counties in a state by hand, but you could practice doing this analysis in a script.

After that, I recommend learning some geospatial R. More and more organizations are starting to use R, and it can be helpful to learn some languages/packages that are not strictly used by ArcGIS. I recommend this book.

SQL might be good to learn since GIS tends to be all about databases. It might be tough to learn if you don't already have a huge database/server to work with, but try to learn what you can. I feel like Python, R, and SQL cover a lot of the non-web aspects of GIS programming.

If you want to take it to the next level, then you could learn some web-based programming. It can be tricky to learn this because there are several languages that work together (ex. HTML puts the content on the web page, CSS edits the content to make it look nice, and JavaScript manipulates the behavior of the content). You could start by building a basic web page (non-GIS) so you can learn these languages individually. Once you have a better idea about syntax and how they work together, you could move to GIS stuff. You could start by using a pre-existing web map service such as CartoDB and using HTML, CSS, JavaScript, etc. to put the web map on your own website and edit it.

u/QuestionableQuestion · 3 pointsr/Rlanguage

I just bought R in Action on Amazon. Seems to come well-regarded!

Edit: Also ordered R for Spatial Analysis and Mapping.

u/dslamb · 2 pointsr/gis
u/geodude247 · 1 pointr/gis

Have you tried the packages spdep, spatstat, gstat? In the class I took on this subject, we used these packages along with maptools and GISTools to avoid Arc entirely. This book was our reference:
https://www.amazon.com/Introduction-Spatial-Analysis-Mapping/dp/1446272958

If I'm not mistaken, the package spdep was developed by the authors of these books:
https://www.amazon.com/Applied-Spatial-Data-Analysis-Use/dp/1461476178
https://www.amazon.com/Spatial-Statistics-Geostatistics-Applications-Information/dp/1446201740

Were you instructed to use geoRglm?