Exploring vector and raster data formats for geospatial visualization with python

Title

Exploring vector and raster data formats for geospatial visualization with python

Creator

Sonu M.M.; Das D.; Natarajan A.K.; Manimaran A.

Description

The chapter uses Python to explore vector and raster data formats within geospatial visualization. It highlights their pivotal role across diverse environmental science, urban planning, and natural resource management domains. A nuanced comprehension of these formats is deemed essential for proficient geospatial visualization in Python, as they facilitate the storage and manipulation of spatial data. Vector data formats accurately represent points, lines, and polygons within a coordinate system. In contrast, raster data formats are tailored to depict continuous surfaces or grids of data. An array of libraries and tools are outlined for exploring and visualizing these geospatial data formats in Python, each serving distinct functionalities ranging from data manipulation to visualization. The chapter systematically introduces the concept of geospatial visualization, elucidates the disparities and application scenarios of vector and raster data formats, and subsequently elucidates various Python libraries and tools conducive to geospatial data manipulation and visualization. 2024 by IGI Global.

Source

Geospatial Application Development Using Python Programming, pp. 163-186.

Date

2024-01-01

Publisher

IGI Global

Coverage

Sonu M.M., Christ University, India; Das D., Christ University, India; Natarajan A.K., Samarkand International University of Technology, Uzbekistan; Manimaran A., VIT-AP University, India

Rights

Restricted Access

Relation

ISBN: 979-836931755-6; 979-836931754-9

Format

Online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3693-1754-9.ch006

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85195749827&doi=10.4018%2f979-8-3693-1754-9.ch006&partnerID=40&md5=bf07db97ca4eccc075d4ee0e0393f126