Sampling Points from Raster Data

Introduction

In GIS applications, we sometimes encounter phenomena that are not conveniently represented by vector structures. Instead, they might be captured more accurately as a continuous field in the form of raster data.

A raster data structure consists of a matrix of cells (or pixels) organized into rows and columns (or a grid), where each cell contains a value representing information. This form of data representation is used extensively in fields such as remote sensing, meteorology, and climate science to represent phenomena that vary continuously over space, such as ...