Overview of Geospatial Data
Explore the fundamental concepts of geospatial data including vector and raster formats, their applications, and the importance of coordinates with reference systems. Understand how GeoPandas manages georeferenced data to enable accurate spatial analysis and mapping in Python.
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Introduction
Geographic information system (GIS) applications utilize various data types to effectively represent, analyze, and visualize spatial information. Two of the most commonly used data types in GIS are raster and vector data. The choice between these data types largely depends on the specific object or phenomenon being depicted and the desired level of detail.
Vector data is highly suitable for representing discrete objects like buildings, roads, and parks. It employs a coordinate-based data model, typically consisting of points, lines, and polygons. Vector data is the most prevalent type of GIS data and can be easily manipulated using GeoPandas.
Raster data, on the other hand, is ideal for representing continuous phenomena such as temperature variations on ...