geocompr | Open source book : Geocomputation with R | Dataset library

by Robinlovelace R Version: 1.9.1-2 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(3)Vulnerabilities Install Support

kandi X-RAY | geocompr Summary

geocompr is a R library typically used in Artificial Intelligence, Dataset applications. geocompr has no bugs, it has no vulnerabilities and it has medium support. However geocompr has a Non-SPDX License. You can download it from GitHub.

This repository hosts the code underlying Geocomputation with R, a book by Robin Lovelace, Jakub Nowosad, and Jannes Muenchow:. Lovelace, Robin, Jakub Nowosad and Jannes Muenchow (2019). Geocomputation with R. The R Series. CRC Press. The first version of the book has been published by CRC Press in the R Series and can be viewed online at bookdown.org. Read the latest version at geocompr.robinlovelace.net.

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Quality

Security

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Support

geocompr has a medium active ecosystem.

It has 1230 star(s) with 534 fork(s). There are 44 watchers for this library.

It had no major release in the last 12 months.

There are 22 open issues and 473 have been closed. On average issues are closed in 326 days. There are 3 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of geocompr is 1.9.1-2

Quality

geocompr has no bugs reported.

Security

geocompr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

geocompr has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

geocompr releases are available to install and integrate.

Installation instructions are not available. Examples and code snippets are available.

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geocompr Key Features

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geocompr Examples and Code Snippets

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Community Discussions

Trending Discussions on geocompr

PNG of Static Map using R and Mapdeck

How can I use and understand (R-) leaflet's crsClasses?

Confusion about the mask() function in the raster package

QUESTION

PNG of Static Map using R and Mapdeck

Asked 2019-Sep-03 at 21:54

I would like to create the static map using R and Mapdeck. I am doing it for the first time, and I just want just any png map output at this stage. (Eventually I want to create USA map with 50 states and with extended horizontal bar charts for some cities.)

On the website below I found a sample code. At the moment I just want a simple png of this file. I created mapdeck token, I can run this code with no errors, but I do not get any "viewer" output that would display the map that I would export to png. I have found other mapdeck/R codes on the web, and none of them display any visuals.

https://geocompr.robinlovelace.net/adv-map.html

...

ANSWER

Answered 2019-Sep-03 at 21:54

There are a couple of possible issues

A known issue where you can't see the map in your RStudio viewer

The solution is to open it in a browser by pressing the 'open in new window' button

There are NAs in the data, and it's focusing you on (0,0)

The solution to this is to either remove the NAs, or simply zoom out

Also, the package has been updated to v0.2.1 since that article was written, so there's a couple of subtle changes to the code.

Source https://stackoverflow.com/questions/54560369

QUESTION

How can I use and understand (R-) leaflet's crsClasses?

Asked 2019-Jul-11 at 07:06

Edit after input below and e.g. here: leaflet has to make a compromise between "understandable for non-gis-experts" and "correct gis-handling". What I understand now, leaflet focussed on easy handling, thus, projections cannot really be implemented.

Originial question: My goal is to display "real" densities correctly, that is in events/m^2. At the moment I am struggeling with leaflet's projection's. What do I have to do, to display all crsClasses correctly? My data generates uniform random points on the shere.

I guess I miss to transform the data?

...

ANSWER

Answered 2019-Jun-14 at 13:41

My goal is to display "real" densities correctly, that is in events/m²

You should use an equal-area projection, then.

but I don't understand why this corresponds to worldCopyJump = FALSE.

The worldCopyJump is an interaction option, and not a visualization option. Let me quote Leaflet's reference, emphasis mine:

With this option enabled, the map tracks when you pan to another "copy" of the world and seamlessly jumps to the original one so that all overlays like markers and vector layers are still visible.

In other words: That option only impacts the behaviour of the map when the user pans the map around so that the map's center crosses the antimeridian. It doesn't have any other effect. It doesn't make multiples copies of the data as Leaflet.RepeatedMarkers does, and it doesn't magically reposition your data so it looks nicer.

Using crsClasses[2] ... looks strange

You're using a map with a EPSG:4326 coordinate system, but the background tiles are still in EPSG:3857. As explained elsewhere, Leaflet does not reproject raster data (unlike OpenLayers does in some very specific scenarios). If you change the map's CRS, you are in charge of changing the map's tile source(s) as well.

EPSG:4326 is the coordinate system for the equirectangular projection, based on the CRS84 geoid.

It has the property that the extents of the earth look like a rectangle of ratio 2:1; Leaflet makes the assumption that a tile server serving tiles in EPSG:4326 has two tiles for the zoom level zero. Compare that with the assumption Leaflet makes about EPSG:3857 having just one square tile at zoom level zero.

Do not change the CRS blindly and expect things to work. Choose a map projection, find its EPSG code, then find (or build) base maps for that projection.

Source https://stackoverflow.com/questions/56597938

QUESTION

Confusion about the mask() function in the raster package

Asked 2018-Jun-15 at 21:30

I apologise in advance for the very basic nature of this question, but I'm confused about how the mask() function works in the raster package in R.

Reading the documentation for the function it sounds like cells in raster x are set to NA (the default) if these cells match a maskvalue in a mask object (the default maskvalue being NA). However, the description of the mask() function in the book Geocomputation with R by Lovelace et al. (https://geocompr.robinlovelace.net/spatial-operations.html#spatial-ras) (section 4.3.1) makes it sound as if cells in raster x are KEPT if they match a maskvalue in a mask object, and set to NA if they don't. They give this example:

...

ANSWER

Answered 2018-Jun-15 at 21:30

What stops you from making a small example and test which approach works? In your case, neither [1] nor [2] will work, as maskvalue is a single value (the first value if you provide a longer vector). You probably want to use reclassify first

Example data

Source https://stackoverflow.com/questions/50822233

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install geocompr

You can download it from GitHub.

Support

We encourage contributions on any part of the book, including:. See our-style.md for the book’s style. Many thanks to all contributors to the book so far via GitHub (this list will update automatically): prosoitos, florisvdh, katygregg, rsbivand, iod-ine, KiranmayiV, zmbc, erstearns, dcooley, MikeJohnPage, defuneste, eyesofbambi, nickbearman, tyluRp, marcosci, giocomai, KHwong12, LaurieLBaker, MarHer90, mdsumner, pat-s, darrellcarvalho, e-clin, gisma, ateucher, annakrystalli, kant, gavinsimpson, Himanshuteli, yutannihilation, jimr1603, jbixon13, olyerickson, yvkschaefer, katiejolly, layik, mpaulacaldas, mtennekes, mvl22, ganes1410, richfitz, wdearden, yihui, chihinl, cshancock, ec-nebi, gregor-d, jasongrahn, p-kono, pokyah, schuetzingit, sdesabbata, tim-salabim, tszberkowitz. During the project we aim to contribute ‘upstream’ to the packages that make geocomputation with R possible. This impact is recorded in our-impact.csv.

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