Introduction to GIS programming and fundamentals with Python and ArcGIS

Author(s)

    • Yang, Chaowei
    • Yu, Manzhu
    • Huang, Qunying
    • Li, Zhenlong
    • Sun, Min
    • Liu, Kai
    • Jiang, Yongyao
    • Xia, Jizhe
    • Hu, Fei

Bibliographic Information

Introduction to GIS programming and fundamentals with Python and ArcGIS

Chaowei Yang ; with the collaboration of Manzhu Yu ... [et al.]

CRC Press, c2017

Available at  / 4 libraries

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Note

Includes bibliographical references and index

Other collaborator: Qunying Huang, Zhenlong Li, Min Sun, Kai Liu, Yongyao Jiang, Jizhe Xia, Fei Hu

Description and Table of Contents

Description

Combining GIS concepts and fundamental spatial thinking methodology with real programming examples, this book introduces popular Python-based tools and their application to solving real-world problems. It elucidates the programming constructs of Python with its high-level toolkits and demonstrates its integration with ArcGIS Theory. Filled with hands-on computer exercises in a logical learning workflow this book promotes increased interactivity between instructors and students while also benefiting professionals in the field with vital knowledge to sharpen their programming skills. Readers receive expert guidance on modules, package management, and handling shapefile formats needed to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom-tested exercises are all housed here to permit users to become competitive in the GIS/IT job market and industry.

Table of Contents

Section I. Introduction. Object-Oriented Programming. Section II. Introduction to Python. Python Language Control Structure, File Input/Output, and Exception Handling. Programming Thinking and Vector Data Visualization. Shapefile Handling. Python Programming Environment. Vector Data Algorithms. Section III. ArcGIS Programming. Raster Data Algorithm. Network Data Algorithms. Surface Data Algorithms. Section IV. Performance-Improving Techniques. Advanced Topics. References. Index.

by "Nielsen BookData"

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