logo资料库

Geoprocessing with Python 无水印pdf.pdf

发布时间：2022-06-15 发布人：admin 分类：说明书 资料大小：28.17M 资料格式：pdf 举报 版权申诉
第1页 / 共362页
第2页 / 共362页
第3页 / 共362页
第4页 / 共362页
第5页 / 共362页
第6页 / 共362页
第7页 / 共362页
第8页 / 共362页
资料共362页，剩余部分请下载后查看
    Geoprocessing with Python
    brief contents
    contents
    preface
    acknowledgments
    about this book
    Who should read this book
    How this book is organized
    About the code
    Author Online
    Other online resources
    about the author
    about the cover illustration
    1 Introduction
    1.1 Why use Python and open source?
    1.2 Types of spatial data
    1.3 What is geoprocessing?
    1.4 Exploring your data
    1.5 Summary
    2 Python basics
    2.1 Writing and executing code
    2.2 Basic structure of a script
    2.3 Variables
    2.4 Data types
    2.4.1 Booleans
    2.4.2 Numeric types
    2.4.3 Strings
    2.4.4 Lists and tuples
    2.4.5 Sets
    2.4.6 Dictionaries
    2.5 Control flow
    2.5.1 If statements
    2.5.2 While statements
    2.5.3 For statements
    2.5.4 break, continue, and else
    2.6 Functions
    2.7 Classes
    2.8 Summary
    3 Reading and writing vector data
    3.1 Introduction to vector data
    3.2 Introduction to OGR
    3.3 Reading vector data
    3.3.1 Accessing specific features
    3.3.2 Viewing your data
    3.4 Getting metadata about the data
    3.5 Writing vector data
    3.5.1 Creating new data sources
    3.5.2 Creating new fields
    3.6 Updating existing data
    3.6.1 Changing the layer definition
    3.6.2 Adding, updating, and deleting features
    3.7 Summary
    4 Working with different vector file formats
    4.1 Vector file formats
    4.1.1 File-based formats such as shapefiles and geoJSON
    4.1.2 Multi-user database formats such as PostGIS
    4.2 Working with more data formats
    4.2.1 SpatiaLite
    4.2.2 PostGIS
    4.2.3 Folders as data sources (shapefiles and CSV)
    4.2.4 Esri file geodatabases
    4.2.5 Web feature services
    4.3 Testing format capabilities
    4.4 Summary
    5 Filtering data with OGR
    5.1 Attribute filters
    5.2 Spatial filters
    5.3 Using SQL to create temporary layers
    5.4 Taking advantage of filters
    5.5 Summary
    6 Manipulating geometries with OGR
    6.1 Introduction to geometries
    6.2 Working with points
    6.2.1 Creating and editing single points
    6.2.2 Creating and editing multipoints: multiple points as one geometry
    6.3 Working with lines
    6.3.1 Creating and editing single lines
    6.3.2 Creating and editing multilines: multiple lines as one geometry
    6.4 Working with polygons
    6.4.1 Creating and editing single polygons
    6.4.2 Creating and editing multipolygons: multiple polygons as one geometry
    6.4.3 Creating and editing polygons with holes: donuts
    6.5 Summary
    7 Vector analysis with OGR
    7.1 Overlay tools: what’s on top of what?
    7.2 Proximity tools: how far apart are things?
    7.3 Example: locating areas suitable for wind farms
    7.4 Example: animal tracking data
    7.5 Summary
    8 Using spatial reference systems
    8.1 Introduction to spatial reference systems
    8.2 Using spatial references with OSR
    8.2.1 Spatial reference objects
    8.2.2 Creating spatial reference objects
    8.2.3 Assigning an SRS to data
    8.2.4 Reprojecting geometries
    8.2.5 Reprojecting an entire layer
    8.3 Using spatial references with pyproj
    8.3.1 Transforming coordinates between spatial reference systems
    8.3.2 Great-circle calculations
    8.4 Summary
    9 Reading and writing raster data
    9.1 Introduction to raster data
    9.2 Introduction to GDAL
    9.3 Reading partial datasets
    9.3.1 Using real-world coordinates
    9.3.2 Resampling data
    9.4 Byte sequences
    9.5 Subdatasets
    9.6 Web map services
    9.7 Summary
    10 Working with raster data
    10.1 Ground control points
    10.2 Converting pixel coordinates to another image
    10.3 Color tables
    10.3.1 Transparency
    10.4 Histograms
    10.5 Attribute tables
    10.6 Virtual raster format
    10.6.1 Subsetting
    10.6.2 Creating troublesome formats
    10.6.3 Reprojecting images
    10.7 Callback functions
    10.8 Exceptions and error handlers
    10.9 Summary
    11 Map algebra with NumPy and SciPy
    11.1 Introduction to NumPy
    11.2 Map algebra
    11.2.1 Local analyses
    11.2.2 Focal analyses
    11.2.3 Zonal analyses
    11.2.4 Global analyses
    11.3 Resampling data
    11.4 Summary
    12 Map classification
    12.1 Unsupervised classification
    12.2 Supervised classification
    12.2.1 Accuracy assessments
    12.3 Summary
    13 Visualizing data
    13.1 Matplotlib
    13.1.1 Plotting vector data
    13.1.2 Plotting raster data
    13.1.3 Plotting 3D data
    13.2 Mapnik
    13.2.1 Drawing vector data
    13.2.2 Storing information as XML
    13.2.3 Drawing raster data
    13.3 Summary
    appendix A Installation
    A.1 Anaconda
    A.2 Nonbundled installations
    A.2.1 Linux
    A.2.2 Mac OS X
    A.2.3 Windows
    A.3 Environment variables
    A.4 Source code and data
    A.5 Development environments
    appendix B References
    Data used in figures
    Chapter 1
    Chapter 3
    Chapter 4
    Chapter 5
    Chapter 6
    Chapter 7
    Chapter 8
    Chapter 9
    Chapter 10
    Chapter 11
    Chapter 12
    Chapter 13
    Data references
    index
    Symbols
    Numerics
    A
    B
    C
    D
    E
    F
    G
    H
    I
    J
    K
    L
    M
    N
    O
    P
    Q
    R
    S
    T
    U
    V
    W
    X
    Y
    Z
    Geoprocessing with Python-back
    Chris Garrard M A N N I N G
    Geoprocessing with Python
    ii
    Geoprocessing with Python CHRIS GARRARD M A N N I N G SHELTER ISLAND
    iv For online information and ordering of this and other Manning books, please visit www.manning.com. The publisher offers discounts on this book when ordered in quantity. For more information, please contact Special Sales Department Manning Publications Co. 20 Baldwin Road PO Box 761 Shelter Island, NY 11964 Email: orders@manning.com ©2016 by Manning Publications Co. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by means electronic, mechanical, photocopying, or otherwise, without prior written permission of the publisher. Many of the designations used by manufacturers and sellers to distinguish their products are claimed as trademarks. Where those designations appear in the book, and Manning Publications was aware of a trademark claim, the designations have been printed in initial caps or all caps. Recognizing the importance of preserving what has been written, it is Manning’s policy to have the books we publish printed on acid-free paper, and we exert our best efforts to that end. Recognizing also our responsibility to conserve the resources of our planet, Manning books are printed on paper that is at least 15 percent recycled and processed without elemental chlorine. Manning Publications Co. 20 Baldwin Road PO Box 761 Shelter Island, NY 11964 Development editor: Jennifer Stout Technical development editor: Karsten Strøbæk Copyeditor: Katie Petito Proofreader: Katie Tennant Technical proofreader: Rizwan Bilbul Typesetter: Marija Tudor Cover designer: Marija Tudor ISBN: 9781617292149 Printed in the United States of America 1 2 3 4 5 6 7 8 9 10 – EBM – 21 20 19 18 17 16
    brief contents Introduction 1 1 ■ 2 ■ Python basics 15 3 ■ Reading and writing vector data 35 4 ■ Working with different vector file formats 67 5 ■ Filtering data with OGR 88 6 ■ Manipulating geometries with OGR 105 7 ■ Vector analysis with OGR 129 8 ■ Using spatial reference systems 153 9 ■ Reading and writing raster data 173 10 ■ Working with raster data 208 11 ■ Map algebra with NumPy and SciPy 237 12 ■ Map classification 276 13 ■ Visualizing data 287 v
    vi BRIEF CONTENTS
    contents xi preface acknowledgments about this book about the author about the cover illustration xviii xvii xiii xiv 1 Introduction 1 1.1 Why use Python and open source? 2 1.2 Types of spatial data 3 1.3 What is geoprocessing? 7 1.4 Exploring your data 10 1.5 Summary 14 2 Python basics 15 2.1 Writing and executing code 16 2.2 Basic structure of a script 17 2.3 Variables 18 2.4 Data types 20 Booleans 20 ■ Numeric types 20 ■ Strings 22 Lists and tuples 24 ■ Sets 26 ■ Dictionaries 26 2.5 Control flow 27 If statements 27 ■ While statements 29 ■ For statements 29 ■ break, continue, and else 30 Functions 31 2.6 2.7 Classes 32 2.8 Summary 34 vii
    分享到：
    赞 收藏

    相关推荐

    资料库

    后端

    共收录2142份资料，累计10个分类，关注成员有19位，主要包括：Perl,Docker,Delphi,VB,PHP,Java,C,C#,Python,C++

    热门标签

    Perl Docker Delphi VB PHP Java C C# Python C++

    最新资料