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GISPython

GeoPandas: installation, first steps

GeoPandas combines the functionality of Pandas and Shapely, making it easy to work with geographic data. In this post, I’ll

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R

GGPlot2 – how to create a plot

In previous posts, we learned how to manipulate data. Today, we will learn about the ggplot2 library to plot data

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R

StringR – operations on strings

This time we’ll show you some helpful functions from the stringr library that work on strings. Let’s load the library

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R

Purrr – functions on vectors and lists

The Purrr library is a function programming toolkit for working with functions, vectors, and lists that makes it easy to

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GISR

TidyR – organize your data

Today we will introduce you to the basic funtions of the TidyR library, which is used to change the shape

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R

Dplyr – manipulation of data frame

In this post, we will introduce the library dplyr, which allows you to easily manipulate variables of type data frame.

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DatabaseGISRRS and PhotogrammetryUAV

RPostGIS – work with GeoSpatial rasters

In a previous post, we showed you how to use the rpostgis library to load and write vector data to

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GISRRS and PhotogrammetryUAV

DTM and DSM from point cloud in R

We have already written how to load a point cloud in R. Today we will show you how to use

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GISRRS and Photogrammetry

Sentinel-2 satelitte data in R

The data collected since 2015 from the European Sentinel satellite is an excellent free source of satellite imagery data. In

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GISR

Speed up R sripts – external program (RSAGA)

What if all the features we have tested/written do not allow us to get satisfactory execution times for the intended

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Previous posts

  • GeoPandas: installation, first steps
  • GGPlot2 – how to create a plot
  • StringR – operations on strings
  • Purrr – functions on vectors and lists
  • TidyR – organize your data

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