geobr | Easy access to official spatial data sets | Dataset library

 by   ipeaGIT R Version: 0.2.1 License: No License

kandi X-RAY | geobr Summary

kandi X-RAY | geobr Summary

geobr is a R library typically used in Artificial Intelligence, Dataset applications. geobr has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

geobr is a computational package to download official spatial data sets of Brazil. The package includes a wide range of geospatial data in geopackage format (like shapefiles but better), available at various geographic scales and for various years with harmonized attributes, projection and topology (see detailed list of available data sets below). The package is currently available in R and Python.
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              geobr has a low active ecosystem.
              It has 661 star(s) with 107 fork(s). There are 25 watchers for this library.
              There were 1 major release(s) in the last 6 months.
              There are 41 open issues and 213 have been closed. On average issues are closed in 67 days. There are 2 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of geobr is 0.2.1

            kandi-Quality Quality

              geobr has 0 bugs and 0 code smells.

            kandi-Security Security

              geobr has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              geobr code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              geobr does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              geobr releases are available to install and integrate.
              Installation instructions, examples and code snippets are available.
              It has 9356 lines of code, 81 functions and 131 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

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            geobr Key Features

            No Key Features are available at this moment for geobr.

            geobr Examples and Code Snippets

            No Code Snippets are available at this moment for geobr.

            Community Discussions

            QUESTION

            Legend based on geom rather than aesthetic with ggplot
            Asked 2021-Dec-04 at 09:01

            The idea here is to draw a legend for each geom with the same aesthetic. In the example below the legend generated assumes that these two different layers are in the same scale, resulting in this map.

            I want, as a result, that the legend in the graph is separated in two, so I can change these with a scale_fill_* for each layer.

            I'm aware of this solution: https://stackoverflow.com/a/24874007/11056037, but I'm looking for a more elegant and scalable way to do this.

            ...

            ANSWER

            Answered 2021-Dec-04 at 09:01

            Sounds as if you are looking for the ggnewscale package which allows for multiple scales and guides for the same aesthetic:

            Source https://stackoverflow.com/questions/70221968

            QUESTION

            tm_text produces duplicate text in tmap
            Asked 2021-Nov-13 at 18:33

            I'm trying to do a map using library tmap and this dataset.

            Following this discussion, I'm using the following simple code:

            ...

            ANSWER

            Answered 2021-Nov-13 at 18:33

            Your code to display the map with the tmap library is fine. The problem is that the sf object polygons_regioes_adm_sp has a mixture of POLYGON and MULTIPOLYGON. So, you just need to simplify the sf object by running the st_cast() function.

            As for the projection problem, you just need to specify the EPSG code to assign a recent form of the CRS to the sf object (NB: as for the warning message - cf.below - do not worry, it is fine)

            So, please find below the code to display correctly the names of the administrative regions.

            Source https://stackoverflow.com/questions/69947457

            QUESTION

            Problem trying to use st_remove_holes function
            Asked 2021-Oct-14 at 23:20

            I'm trying to remove the holes from a shapefile with the st_remove_holes function from the nngeo package, but even after run it, some holes still remain.

            ...

            ANSWER

            Answered 2021-Oct-14 at 23:20

            Thank you for the help. This solves the problem:

            Source https://stackoverflow.com/questions/69466005

            QUESTION

            Coloring a map with different color depths in ggplot2
            Asked 2021-Feb-25 at 17:20

            I'm trying to plot a map of brazil colored with a specific color, "#2D3E50". However, using this color on the map to color from the smallest area (light shade) to the largest area (dark shade) is not working. See below the chosen color that I am trying to insert for the different proportions.

            ...

            ANSWER

            Answered 2021-Feb-25 at 17:19

            The RColorBrewer package does not contain a color palette called # 2D3E50. Therefore, it is enough to elaborate a sequence of colors with their respective shades, that is, a color for low values ​​and high values, being these: low = "white", high = "#2D3E50".

            Source https://stackoverflow.com/questions/66371489

            QUESTION

            How to customize legend in ggplot for multiple layers in a map?
            Asked 2020-Oct-15 at 17:38

            I'm trying to fix my caption but I'm having trouble creating it. I wanted a caption for the classes (fill), the shape limit (color), the points (color) and the grid (fill=NA). I put them all in aes () but I don't have the expected result. Can anybody help me? Thanks!

            ...

            ANSWER

            Answered 2020-Oct-15 at 17:38

            Your desired result could be achieved like so:

            1. I moved all fill=NA and color=NA out of the aes() statements. As usual if you want to fix a color, fill or more generally any aes on a specific value then it's best to put it outside of aes() except for the case that you want it to appear in the legend.

            2. Set the so called key_glyph, i.e. the icon drawn in the legend, of the "point" layers to "point".

            As these steps also removed the black border around the fill keys I added a guides layer to get that back. Personally I would remove the black border, but hey, it's your plot. (:

            Source https://stackoverflow.com/questions/64226907

            QUESTION

            Calculate distance from a border with R
            Asked 2020-Oct-11 at 14:24

            I need to calculate the distance between the border of a set of municipalities, from other municipalities in the state of Minas Gerais. The idea is to conduct a regression discontinuity design (RRD) and the border is my cut off.

            Here is an example of database:

            ...

            ANSWER

            Answered 2020-Oct-11 at 14:24

            You have too many NA values to do a true discontinuity design, like you showed above.

            Map.

            Because of that, the best thing to do might be to just calculate nearest neighbors by category:

            Source https://stackoverflow.com/questions/63207112

            QUESTION

            Mean distance from one city to others by a mutual ID
            Asked 2020-Sep-02 at 05:43

            I don't understand spatial.data at all. I have been studying but I'm missing something.

            What I have: data.frame enterprises with the columns: id, parent_subsidiary, city_cod.

            What I need: the mean and the max distance from the parent's city to the subsidiary cities.

            Ex:

            ...

            ANSWER

            Answered 2020-Aug-25 at 06:08

            Great problem. I looked at it for a little while. Then I came back and looked some more after thinking about it. The mean was not calculated. Only the distances were determined from each parent to its subsidiaries.

            The data was binded - the cities data and the data frame data. Then the new df was mutated to add the centroid data for each point on the surface.

            The df was split by id and resulted in a list of 8 df's. Each df contained separate parent with related subsidiaries. (1:4, 1:3, 1:4, 1:2, .... )

            A loop with a function cleaned up the 8 df's, and calculated the distance from each parent to each subsidiary.

            I checked the distance of the first df in the list against values for distances from a website. The distances of df1 were nearly identical to the website.

            The output is shown at [link]

            Source https://stackoverflow.com/questions/63499715

            QUESTION

            geom_sf and geom_point, how to assign colors based on the points inserted on the map to the corresponding types in the legend?
            Asked 2020-Aug-13 at 04:52

            I need to insert multiple points on the map using ggplot. I would like to display in the legend the amount of colors and shapes corresponding to the types registered in points$types. I also need the value of point$obj to be printed on the map along with the insertion of the coordinate. However, I managed to get to that code, but I can't assign the colors and shapes. How to solve this problem? Here is an example of what a plot should look like: the colored coordinates and the print labes:

            Here is the code:

            ...

            ANSWER

            Answered 2020-Aug-13 at 04:52

            Is this what you want?

            Source https://stackoverflow.com/questions/63351058

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

            Vulnerabilities

            No vulnerabilities reported

            Install geobr

            geobr is a computational package to download official spatial data sets of Brazil. The package includes a wide range of geospatial data in geopackage format (like shapefiles but better), available at various geographic scales and for various years with harmonized attributes, projection and topology (see detailed list of available data sets below). The package is currently available in R and Python.
            obs. If you use Linux, you need to install a couple dependencies before installing the libraries sf and geobr. More info here.

            Support

            If you would like to contribute to geobr and add new functions or data sets, please check this guide to propose your contribution.
            Find more information at:

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            Install
          • PyPI

            pip install geobr

          • CLONE
          • HTTPS

            https://github.com/ipeaGIT/geobr.git

          • CLI

            gh repo clone ipeaGIT/geobr

          • sshUrl

            git@github.com:ipeaGIT/geobr.git

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