The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

geoidep

R-CMD-check Lifecycle: experimental Codecov test coverage

The goal of geoidep📦 is to offers R users an easy and accessible way to obtain official cartographic data on various topics, such as society 🏛️, transport🚗, environment🌱, agriculture🌾, climate⛅️,among others.

This includes information provided by regional government entities and technical-scientific institutions, managed by the Spatial Data Infrastructure of Peru.

Installation

You can install the development version of geoidep like so:

install.packages('pak')
pak::pkg_install('ambarja/geoidep')

or also the official version available on CRAN:

install.packages('geoidep')

Example 01: Introduction

library(geoidep)
#> 
#> ── Welcome to geoidep ──────────────────────────────────────────────────────────
#> â„ą geoidep is a wrapper that allows you to download cartographic data for Peru from R.
#> Currently, `geoidep` supports the following providers:
#> âś” Geobosque
#> âś” INEI
#> âś” Midagri
#> âś” Sernanp
#> â„ą For more information, please use the `get_data_sources()` function.

In this example, we can identify the list of providers available in geoidep and the layers they present.

get_data_sources() |> 
  head()
#> # A tibble: 6 Ă— 7
#>   provider category    layer           layer_can_be_actived admin_en year  link 
#>   <chr>    <chr>       <chr>           <lgl>                <chr>    <chr> <chr>
#> 1 INEI     General     departamento    TRUE                 Nationa… 2019  http…
#> 2 INEI     General     provincia       TRUE                 Nationa… 2019  http…
#> 3 INEI     General     distritos       TRUE                 Nationa… 2019  http…
#> 4 Midagri  Agriculture vegetation_cov… TRUE                 Ministr… 2018  http…
#> 5 Midagri  Agriculture agriculture_se… TRUE                 Ministr… 2024  http…
#> 6 Midagri  Agriculture oil_palm_areas  TRUE                 Ministr… 2016… http…

In summary the suppliers and the number of available layers

get_providers() 
#> # A tibble: 4 Ă— 2
#>   provider  layer_count
#>   <fct>           <int>
#> 1 Geobosque           5
#> 2 INEI                3
#> 3 Midagri             4
#> 4 Sernanp            61

Example 02: Download official INEI administrative boundaries

This is a simple example of how to download Peru’s official administrative boundaries:

dep <- get_departaments(show_progress = FALSE)

The first 10 rows of the original data are displayed here:

head(dep)
#> Simple feature collection with 6 features and 6 fields
#> Geometry type: MULTIPOLYGON
#> Dimension:     XY
#> Bounding box:  xmin: -79.45857 ymin: -17.28501 xmax: -70.80408 ymax: -2.986125
#> Geodetic CRS:  WGS 84
#>   id OBJECTID CCDD   NOMBDEP SHAPE_Length SHAPE_Area
#> 1  1        1   01  AMAZONAS    13.059047   3.199147
#> 2  2        2   02    ANCASH    11.788249   2.954697
#> 3  3        3   03  APURIMAC     7.730154   1.765933
#> 4  4        4   04  AREQUIPA    17.459435   5.330125
#> 5  5        5   05  AYACUCHO    17.127166   3.643705
#> 6  6        6   06 CAJAMARCA    12.540288   2.688386
#>                             geom
#> 1 MULTIPOLYGON (((-77.81399 -...
#> 2 MULTIPOLYGON (((-77.64697 -...
#> 3 MULTIPOLYGON (((-73.74655 -...
#> 4 MULTIPOLYGON (((-71.98109 -...
#> 5 MULTIPOLYGON (((-74.34843 -...
#> 6 MULTIPOLYGON (((-78.70034 -...

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.