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Introduction to GIS Programming and Fundamentals with Python and ArcGIS

Author: Chaowei Yang
Publisher: CRC Press
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Format Type: PDF, ePub, Docs
Size: 21,36 MB
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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. A powerful programming language with high-level toolkits, Python is well suited to handling geo-spatial data. Teaching the fundamental programming constructs of Python, this book demonstrates Python’s integration with ArcGIS Theory and offers practical, hands-on computer exercises allowing readers to build their own mini-GIS. Comprehensive and engaging commentary, robust contents, accompanying datasets, and classroom tested exercises; this book promotes increased interactivity between instructor and student.


Landscape Planning with Ecosystem Services

Author: Christina von Haaren
Publisher: Springer
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Format Type: PDF, ePub, Mobi
Size: 10,80 MB
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Human well-being depends in many ways on maintaining the stock of natural resources which deliver the services from which humans benefit. However, these resources and flows of services are increasingly threatened by unsustainable and competing land uses. Particular threats exist to those public goods whose values are not well-represented in markets or whose deterioration will only affect future generations. As market forces alone are not sufficient, effective means for local and regional planning are needed in order to safeguard scarce natural resources, coordinate land uses and create sustainable landscape structures. This book argues that a solution to such challenges in Europe can be found by merging the landscape planning tradition with ecosystem services concepts. Landscape planning has strengths in recognition of public benefits and implementation mechanisms, while the ecosystem services approach makes the connection between the status of natural assets and human well-being more explicit. It can also provide an economic perspective, focused on individual preferences and benefits, which helps validate the acceptability of environmental planning goals. Thus linking landscape planning and ecosystem services provides a two-way benefit, creating a usable science to meet the needs of local and regional decision making. The book is structured around the Drivers-Pressures-State- Impact-Responses framework, providing an introduction to relevant concepts, methodologies and techniques. It presents a new, ecosystem services-informed, approach to landscape planning that constitutes both a framework and toolbox for students and practitioners to address the environmental and landscape challenges of 21st century Europe.


ArcPy and ArcGIS Geospatial Analysis with Python

Author: Silas Toms
Publisher: Packt Publishing Ltd
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Format Type: PDF
Size: 10,98 MB
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If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses.


Spatial Analytics with ArcGIS

Author: Eric Pimpler
Publisher: Packt Publishing Ltd
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Format Type: PDF, Kindle
Size: 12,93 MB
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Pattern Analysis and cluster mapping made easy About This Book Analyze patterns, clusters, and spatial relationships using ArcGIS tools Get up to speed in R programming to create custom tools for analysis Sift through tons of crime and real estate data and analyze it using the tools built in the book Who This Book Is For This book is for ArcGIS developers who want to perform complex geographic analysis through the use of spatial statistics tools including ArcGIS and R. No knowledge of R is assumed. What You Will Learn Get to know how to measure geographic distributions Perform clustering analysis including hot spot and outlier analysis Conduct data conversion tasks using the Utilities toolset Understand how to use the tools provided by the Mapping Clusters toolset in the Spatial Statistics Toolbox Get to grips with the basics of R for performing spatial statistical programming Create custom ArcGIS tools with R and ArcGIS Bridge Understand the application of Spatial Statistics tools and the R programming language through case studies In Detail Spatial statistics has the potential to provide insight that is not otherwise available through traditional GIS tools. This book is designed to introduce you to the use of spatial statistics so you can solve complex geographic analysis. The book begins by introducing you to the many spatial statistics tools available in ArcGIS. You will learn how to analyze patterns, map clusters, and model spatial relationships with these tools. Further on, you will explore how to extend the spatial statistics tools currently available in ArcGIS, and use the R programming language to create custom tools in ArcGIS through the ArcGIS Bridge using real-world examples. At the end of the book, you will be presented with two exciting case studies where you will be able to practically apply all your learning to analyze and gain insights into real estate data. Style and approach Filled with live examples that you can code along with, this book will show you different methods and techniques to effectively analyze spatial data with ArcGIS and the R language. The exciting case studies at the end will help you immediately put your learning to practice.


Programming ArcGIS 10 1 with Python Cookbook

Author: Eric Pimpler
Publisher: Packt Publishing Ltd
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Format Type: PDF, Kindle
Size: 15,92 MB
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This book is written in a helpful, practical style with numerous hands-on recipes and chapters to help you save time and effort by using Python to power ArcGIS to create shortcuts, scripts, tools, and customizations."Programming ArcGIS 10.1 with Python Cookbook" is written for GIS professionals who wish to revolutionize their ArcGIS workflow with Python. Basic Python or programming knowledge is essential(?).


ArcPy and ArcGIS

Author: Silas Toms
Publisher: Packt Publishing Ltd
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Format Type: PDF, ePub
Size: 20,53 MB
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Use Python modules such as ArcPy, ArcREST and the ArcGIS API for Python to automate the analysis and mapping of geospatial data. About This Book Perform GIS analysis faster by automating tasks. Access the spatial data contained within shapefiles and geodatabases and transform between spatial reference systems. Automate the mapping of geospatial analyses and production of map books. Who This Book Is For If you are a GIS student or professional who needs an understanding of how to use ArcPy to reduce repetitive tasks and perform analysis faster, this book is for you. It is also a valuable book for Python programmers who want to understand how to automate geospatial analyses and implement ArcGIS Online data management. What You Will Learn Understand how to integrate Python into ArcGIS and make GIS analysis faster and easier. Create Python script using ArcGIS ModelBuilder. Learn to use ArcGIS online feature services and the basics of the ArcGIS REST API Understand the unique Python environment that is new with ArcGIS Pro Learn about the new ArcGIS Python API and how to use Anaconda and Jupyter with it Learn to control ArcGIS Enterprise using ArcPy In Detail ArcGIS allows for complex analyses of geographic information. The ArcPy module is used to script these ArcGIS analyses, providing a productive way to perform geo-analyses and automate map production. The second edition of the book focuses on new Python tools, such as the ArcGIS API for Python. Using Python, this book will guide you from basic Python scripting to advanced ArcPy script tools. This book starts off with setting up your Python environment for ArcGIS automation. Then you will learn how to output maps using ArcPy in MXD and update feature class in a geodatabase using arcpy and ArcGIS Online. Next, you will be introduced to ArcREST library followed by examples on querying, updating and manipulating ArcGIS Online feature services. Further, you will be enabling your scripts in the browser and directly interacting with ArcGIS Online using Jupyter notebook. Finally, you can learn ways to use of ArcPy to control ArcGIS Enterprise and explore topics on deployments, data quality assurances, data updates, version control, and editing safeguards. By the end of the book, you will be equipped with the knowledge required to create automated analysis with administration reducing the time-consuming nature of GIS. Style and approach The book takes a pragmatic approach, showing ways to automate repetitive tasks and utilizing features of ArcPy with ArcGIS Pro and ArcGIS online.


A Python Primer for ArcGIS r

Author: Nathan Jennings
Publisher: Createspace Independent Publishing Platform
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Format Type: PDF, Kindle
Size: 19,34 MB
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A Python Primer for ArcGIS(r) Workbook III (3 of 3) The automation of geoprocessing tasks is a common practice among GIS professionals. Python is the standard programming language for ArcGIS and other fields such as remote sensing, GPS, spatial modeling, and statistical analysis. A Python Primer for ArcGIS(r) Workbook series combines fundamental Python programming structures to help professionals automate common geoprocessing functions. Thorough explanations of programming concepts are included along with user-friendly demonstrations that enable readers to develop programs on their own. In addition, chapters contain exercises and questions that aid in the application of each chapter's highlighted principles. Workbook III completes the Workbook series by focusing on Python functions, creating custom Python script tools, Python Add-ins, and script automation. Workbook I provides a practical introduction using Python for ArcGIS geoprocessing. Readers will learn some Python basics ending with writing a simple geoprocessing script. Workbook II contains coding strategies for common GIS tasks and processes. Workbook I can be ordered here: https://www.createspace.com/5205001 Workbook II can be ordered here:https://www.createspace.com/5215222 Follow for changes, updates, and new material: Blog: http://education.urbandalespatial.com/ Twitter: https://twitter.com/urbandalegis


Introducing Geographic Information Systems with ArcGIS

Author: Michael D. Kennedy
Publisher: John Wiley & Sons
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Format Type: PDF
Size: 29,49 MB
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An integrated approach that combines essential GIS background with a practical workbook on applying the principles in ArcGIS 10.0 and 10.1 Introducing Geographic Information Systems with ArcGISintegrates a broad introduction to GIS with a software-specific workbook for Esri's ArcGIS. Where most courses make do using two separate texts, one covering GIS and another the software, this book enables students and instructors to use a single text with an integrated approach covering both in one volume with a common vocabulary and instructional style. This revised edition focuses on the latest software updates—ArcGIS 10.0 and 10.1. In addition to its already successful coverage, the book allows students to experience publishing maps on the Internet through new exercises, and introduces the idea of programming in the language Esri has chosen for applications (i.e., Python). A DVD is packaged with the book, as in prior editions, containing data for working out all of the exercises. This complete, user-friendly coursebook: Is updated for the latest ArcGIS releases—ArcGIS 10.0 and 10.1 Introduces the central concepts of GIS and topics needed to understand spatial information analysis Provides a considerable ability to operate important tools in ArcGIS Demonstrates new capabilities of ArcGIS 10.0 and 10.1 Provides a basis for the advanced study of GIS and the study of the newly emerging field of GIScience Introducing Geographic Information Systems with ArcGIS, Third Edition is the ideal guide for undergraduate students taking courses such as Introduction to GIS, Fundamentals of GIS, and Introduction to ArcGIS Desktop. It is also an important guide for professionals looking to update their skills for ArcGIS 10.0 and 10.1.


Geoprocessing With Python

Author: Chris Garrard
Publisher:
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Format Type: PDF, Mobi
Size: 21,80 MB
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Summary "Geoprocessing with Python" teaches you how to use the Python programming language, along with free and open source tools, to read, write, and process geospatial data. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology This book is about the science of reading, analyzing, and presenting geospatial data programmatically, using Python. Thanks to dozens of open source Python libraries and tools, you can take on professional geoprocessing tasks without investing in expensive proprietary packages like ArcGIS and MapInfo. The book shows you how. About the Book "Geoprocessing with Python" teaches you how to access available datasets to make maps or perform your own analyses using free tools like the GDAL, NumPy, and matplotlib Python modules. Through lots of hands-on examples, you ll master core practices like handling multiple vector file formats, editing geometries, applying spatial and attribute filters, working with projections, and performing basic analyses on vector data. The book also covers how to manipulate, resample, and analyze raster data, such as aerial photographs and digital elevation models. What's InsideGeoprocessing from the ground upRead, write, process, and analyze raster dataVisualize data with matplotlibWrite custom geoprocessing toolsThree additional appendixes available online About the Reader To read this book all you need is a basic knowledge of Python or a similar programming language. About the AuthorChris Garrard works as a developer for Utah State University and teaches a graduate course on Python programming for GIS. Table of ContentsIntroductionPython basicsReading and writing vector dataWorking with different vector file formatsFiltering data with OGRManipulating geometries with OGRVector analysis with OGRUsing spatial reference systemsReading and writing raster dataWorking with raster dataMap algebra with NumPy and SciPyMap classificationVisualizing data AppendixesA - InstallationB - ReferencesC - OGR - online onlyD - OSR - online onlyE - GDAL - online only"


GIS Programming

Author: Yann Chemin
Publisher: Lulu.com
Language:
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Format Type: PDF, ePub, Docs
Size: 18,51 MB
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This textbook aims at expanding basics of GIS programming for Vector, Database and Raster. It should be taken as an overview more than an thorough material, and by no mean dealing with all of the subject. After going through this book, the reader will be able to have a basic knowledge of the technology available for GIS data programming, and a good practical hand on most common ways to investigate them.