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ArcGIS blueprints : explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projects /
Annotation
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Birmingham, UK :
Packt Publishing,
2015.
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| Colección: | Community experience distilled.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 100 | 1 | |a Pimpler, Eric, |e author. | |
| 245 | 1 | 0 | |a ArcGIS blueprints : |b explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projects / |c Eric Pimpler. |
| 264 | 1 | |a Birmingham, UK : |b Packt Publishing, |c 2015. | |
| 300 | |a 1 online resource (1 volume) : |b illustrations | ||
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| 500 | |a Includes index. | ||
| 520 | 8 | |a Annotation |b Explore the robust features of Python to create real-world ArcGIS applications through exciting, hands-on projectsAbout This Book Get to grips with the big world of Python add-ins and wxPython in GUI development to implement their features in your application Integrate advanced Python libraries, ArcPy mapping, and data access module techniques to develop a mapping application Construct a top-notch intermediate-to-advanced project by accessing ArcGIS Server and ArcGIS Online resources through the ArcGIS REST API using a project-based approachWho This Book Is ForIf you have prior experience building simple apps with ArcGIS and now have a fancy for developing a more challenging and complex desktop application in ArcGIS, then this book is ideal for you. What You Will Learn Automate the creation of creative output data visualizations including maps, charts, and graphs Explore ways to use the ArcPy Mapping module and Data-driven Pages to automate the creation of map books in your own project Develop applications that use the Plotly platform and library to create stunning charts and graphs that can be integrated into ArcGIS Desktop Build tools that access REST services and download data to a local geodatabase Design, build, and integrate advanced GUIs with wxPython and ArcGIS Desktop in ArcGIS Get clued up about constructing applications that export data to Google Earth Pro to automate time-consuming complex processes Maximize the access of ArcGIS Server and ArcGIS Online using the ArcGIS REST API with PythonIn DetailThis book is an immersive guide to take your ArcGIS Desktop application development skills to the next levelIt starts off by providing detailed description and examples of how to create ArcGIS Desktop Python toolboxes that will serve as containers for many of the applications that you will build. We provide several practical projects that involve building a local area/community map and extracting wildfire data. You will then learn how to build tools that can access data from ArcGIS Server using the ArcGIS REST API. Furthermore, we deal with the integration of additional open source Python libraries into your applications, which will help you chart and graph advanced GUI development; read and write JSON, CSV, and XML format data sources; write outputs to Google Earth Pro, and more. Along the way, you will be introduced to advanced ArcPy Mapping and ArcPy Data Access module techniques and use data-driven Pages to automate the creation of map books. Finally, you will learn advanced techniques to work with video and social media feeds. By the end of the book, you will have your own desktop application without having spent too much time learning sophisticated theory. Style and approachThis is an easy-to-follow, project-based guide that guides you through the whole ArcGIS theme with practical, real-world examples and a systematic approach. | |
| 505 | 0 | |a Cover ; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Extracting Real-Time Wildfire Data from ArcGIS Server with the ArcGIS REST API ; Design; Creating the ArcGIS Desktop Python Toolbox; Working with tool parameters; Tool execution; Populating the feature class; Installing pip and the requests module; Requesting data from ArcGIS Server; Inserting data in a feature class with the ArcPy data access module; Summary; Chapter 2: Tracking Elk Migration Patterns with GPS and ArcPy ; Design. | |
| 505 | 8 | |a Creating migration patterns for Python toolboxCreating the Import Collar Data tool; Reading data from the CSV file and writing to the feature class; Making the data frame and layer time-enabled; Coding the VisualizeMigration tool; Summary; Chapter 3: Automating the Production of Map Books with Data Driven Pages and ArcPy ; Design; Setting up the Data Frame; Creating the Grid Index Features; Enabling Data Driven Pages; Creating the Locator Map; Adding dynamic text to the layout; Exporting the map series with ArcPy mapping; Summary. | |
| 505 | 8 | |a Chapter 4 : Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and PlotlyDesign; Creating the Import Records tool; Creating the Aggregate Crimes tool; Building the Create Map tool; Performing Spatial Statistical Analysis; Summary; Chapter 5: Analyzing Crime Patterns with ArcGIS Desktop, ArcPy, and Plotly ; Design; Getting to know Plotly; Creating the Neighborhood Bar Chart tool; Creating the Create Line Plot tool; Creating the output; Summary; Chapter 6: Viewing and Querying Parcel Data ; Design; Creating a user interface with wxPython; Creating the ArcGIS Python add-in; Summary. | |
| 505 | 8 | |a Chapter 7: Using Python with the ArcGIS REST API and the GeoEnrichment Service for Retail Site Selection Design; Creating the Census Block Group selection tool; Creating the define potential stores tool; Creating the Enrich Potential Stores tool; Summary; Chapter 8: Supporting Search and Rescue Operations with ArcPy, Python Add-Ins, and simplekml ; Design; Creating the Last Known Position tool; Creating the Search Area Buffers tool; Creating the Search Sector tool; Creating the Convert to Google Earth tool; Summary; Chapter 9: Real-Time Twitter Mapping with Tweepy, ArcPy, and the Twitter API. | |
| 505 | 8 | |a DesignExtracting Tweet geographic coordinates with tweepy; Scheduling the script; Creating the heatmap; Summary; Chapter 10: Integrating Smartphone Photos with ArcGIS Desktop and ArcGIS Online ; Design; Taking photos; Converting iPhone photos to a feature class; Creating a Web Map; Summary; Appendix: Overview of Python Libraries for ArcGIS ; Overview of Arcpy; The ArcPy classes; FeatureSets and Recordsets; Fields; The geometry; Graphing; General; The ArcPy functions; The data store; Describing the data; Environment variables; Fields; General; Geodatabase administration; Geometry. | |
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