Install R and RStudio for Spatial Analysis

avril 24, 2024|Catégories : Getting Started, GIS, R|Mots-clés : , , , , |

R is an open-source statistical programming language used in statistical analysis but also in spatial analysis, artificial intelligence (AI), and machine learning (ML) applications. In this guide, we will walk you through the initial steps of setting up R and RStudio along with installing essential packages and testing them with spatial data.

Exploring Spatial Patterns of Point Distributions using NDD and CSR

avril 15, 2024|Catégories : Point Pattern Analysis, Python|Mots-clés : , , , , , , , |

Calculating Nearest Neighbor Distance (NND) and comparing it with Complete Spatial Randomness (CSR) can be useful in various fields. In this tutorial, we will see together how to calculate a nearest neighbor distance from a given point pattern and compare it to a random distribution (CSR).

Getting Started with Python using Anaconda and Jupyter Notebook

avril 12, 2024|Catégories : Getting Started, Python|Mots-clés : , , , , , , , , |

In this guide you'll find clear instructions on setting up Python with Anaconda for spatial analysis. Then, we'll cover installing Python alongside Anaconda and adding essential dependencies like GeoPandas via the Anaconda Prompt. Lastly, we'll explore using the Jupyter Notebook for practical application.