![]() Individual geometries (see New geometries 1), e.g., calculating geometry centroid Several methods of creating geometry objects (see Creating geometries)ĭerived properties, such as length and area (see Derived properties) Specifically, in this chapter we are going to cover the following topics: Therefore it is essential to be familiar with the shapely package, first, before moving on geopandas. ![]() The individual geometries within a vector layer are stored as shapely geometries. The next two chapters (see Vector layers (geopandas) and Geometric operations) deal with another package, called geopandas, which is used to represent an work with vector layers. In this chapter, we cover the shapely package, which is used to represent and work with individual vector geometries. In the next three chapters, we go through the basics of working with the first type, vector layers, in Python. Rasters-numeric arrays representing a regular grid over a rectangular area Vector layers-points, lines, and polygons, associated with attributes Spatial data can be divided into two categories: ![]() Now, we move on to the main topic of this book, working with spatial data. In the previous chapters we covered the basics of working with Python, starting with the working environment setup (see Setting up the environment) to advanced methods of working with tables ( Table reshaping and joins).
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