Getting to Know ArcGIS Pro 3.6

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Häftad, Engelska, 2026

1 699 kr

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Learn how to use ArcGIS Pro with this best-selling, step-by-step workbook and desk reference. Getting to Know ArcGIS Pro 3.6 explains the basics of how a geographic information system (GIS) works as it teaches readers how to use ArcGIS Pro, the world’s most powerful desktop GIS software. Readers will follow simple step-by-step instructions, accompanied by more than 300 full-color images, to learn core analytic and mapmaking skills. Topics include: ArcGIS and ArcGIS Online basicsGeospatial data management, geoprocessing, and Python toolsMap layoutsSpatial analysis Throughout the book, case studies of real-world GIS applications show how ArcGIS Pro has been used to solve complex issues. Each chapter uses a real-world exercise dataset, and the chapters are designed to build on each other, providing practical, progressive learning. At the conclusion of every chapter, a summary reinforces the skills covered. The book also includes a glossary of technical terms. Getting to Know is the best-selling series that has been guiding readers in learning about GIS for more than 20 years. Ideal for students, self-learners, and professionals who want to learn the premier GIS desktop application, Getting to Know ArcGIS Pro 3.6 is a textbook and desk reference designed to show users how to use ArcGIS Pro successfully.

Produktinformation

Utgivningsdatum2026-07-16
Mått190 x 234 x 22 mm
Vikt942 g
FormatHäftad
SpråkEngelska
SerieGetting to Know
Antal sidor350
Upplaga6
FörlagESRI Press
ISBN9781589488984

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PrefaceChapter 1: Introducing GISExercise 1: Explore ArcGIS OnlineChapter 2: A first look at ArcGIS ProExercise 2a: Learn some basicsExercise 2b: Go beyond the basicsExercise 2c: Experience 3D GISChapter 3: Exploring geospatial relationshipsExercise 3a: Extract part of a datasetExercise 3b: Incorporate tabular dataExercise 3c: Calculate data statisticsExercise 3d: Connect spatial datasetsChapter 4: Creating and editing spatial dataExercise 4a: Build a geodatabaseExercise 4b: Create featuresExercise 4c: Modify featuresChapter 5: Facilitating workflowsExercise 5a: Manage a repeatable workflow using tasksExercise 5b: Create a geoprocessing modelExercise 5c: Run a Python command and script toolChapter 6: Geoenabling your projectExercise 6a: Prepare project dataExercise 6b: Geocode location dataExercise 6c: Use geoprocessing tools to analyze vector dataChapter 7: Analyzing spatial and temporal patternsExercise 7a: Create a kernel density mapExercise 7b: Perform a hot spot analysisExercise 7c: Explore the results in 3DExercise 7d: Animate the dataChapter 8: Determining suitabilityExercise 8a: Prepare project dataExercise 8b: Derive new surfacesExercise 8c: Create a weighted suitability modelChapter 9: Presenting your projectExercise 9a: Apply detailed symbologyExercise 9b: Label featuresExercise 9c: Create a page layoutExercise 9d: Share your projectGlossaryTask indexData source credits