Spatial Analysis with ArcGIS Pro STUDENT EDITION

Similar documents
ArcGIS Pro: Essential Workflows STUDENT EDITION

ArcGIS Enterprise: Administration Workflows STUDENT EDITION

Image Analysis with ArcGIS. Student Edition

Deploying Portal for ArcGIS STUDENT EDITION

Migrating from ArcMap to ArcGIS Pro

Cartography with Esri Production Mapping

ArcGIS Pro: Analysis and Geoprocessing. Nicholas M. Giner Esri Christopher Gabris Blue Raster

ArcGIS 9 ArcGIS StreetMap Tutorial

ArcGIS 2: Essential Workflows. Student Edition

Deploying and Maintaining a Multiuser Geodatabase. Student Edition

Spatial Data Analysis with ArcGIS Desktop: From Basic to Advance

GIS CONCEPTS ARCGIS METHODS AND. 3 rd Edition, July David M. Theobald, Ph.D. Warner College of Natural Resources Colorado State University

GIS CONCEPTS ARCGIS METHODS AND. 2 nd Edition, July David M. Theobald, Ph.D. Natural Resource Ecology Laboratory Colorado State University

ArcGIS for Desktop. ArcGIS for Desktop is the primary authoring tool for the ArcGIS platform.

DP Project Development Pvt. Ltd.

Geog 469 GIS Workshop. Data Analysis

ArcGIS. for Server. Understanding our World

ArcGIS Enterprise: What s New. Philip Heede Shannon Kalisky Melanie Summers Sam Williamson

Basics of GIS. by Basudeb Bhatta. Computer Aided Design Centre Department of Computer Science and Engineering Jadavpur University

ArcGIS for Geostatistical Analyst: An Introduction. Steve Lynch and Eric Krause Redlands, CA.

ArcGIS Desktop II: Tools and Functionality

Concepts and Applications of Kriging. Eric Krause

Concepts and Applications of Kriging. Eric Krause Konstantin Krivoruchko

An ESRI Technical Paper June 2007 An Overview of Distributing Data with Geodatabases

Geographic Systems and Analysis

Spatial analysis. Spatial descriptive analysis. Spatial inferential analysis:

A GEOSTATISTICAL APPROACH TO PREDICTING A PHYSICAL VARIABLE THROUGH A CONTINUOUS SURFACE

ArcGIS Enterprise: What s New. Philip Heede Shannon Kalisky Melanie Summers Shreyas Shinde

Location Suitability Analysis

Geoprocessing Tools at ArcGIS 9.2 Desktop

ARCGIS COURSE, ADVANCED LEVEL ONLINE TRAINING

Python Raster Analysis. Kevin M. Johnston Nawajish Noman

Multivariate Data Analysis Joseph F. Hair Jr. William C. Black Barry J. Babin Rolph E. Anderson Seventh Edition

ArcGIS Earth an Intro

Geodatabase Management Pathway

Creating Faulted Geologic Surfaces with ArcGIS

GIS Level 2. MIT GIS Services

The Changing Landscape of Land Administration

High Speed / Commuter Rail Suitability Analysis For Central And Southern Arizona

Introduction to Coastal GIS

ArcGIS Earth for Enterprises DARRON PUSTAM ARCGIS EARTH CHRIS ANDREWS 3D

NR402 GIS Applications in Natural Resources

Introduction to Coastal GIS

Introductory Statistics Neil A. Weiss Ninth Edition

94-802Z: Geographic Information Systems Summer 2018

Geostatistical Analyst. Statistical Tools for Data Exploration, Modeling, and Advanced Surface Generation

Big Data Discovery and Visualisation Insights for ArcGIS

Concepts and Applications of Kriging

Applied Multivariate Statistical Analysis Richard Johnson Dean Wichern Sixth Edition

Map your way to deeper insights

Teaching GIS for Land Surveying

In this exercise we will learn how to use the analysis tools in ArcGIS with vector and raster data to further examine potential building sites.

Spatial Analysis and Modeling (GIST 4302/5302) Guofeng Cao Department of Geosciences Texas Tech University

Geometric Algorithms in GIS

Spatial Analysis with Web GIS. Rachel Weeden

An ESRI White Paper March 2008 PLTS for ArcGIS Aeronautical Solution: Managing Aeronautical Data with Feature Builder

Concepts and Applications of Kriging

DANIEL WILSON AND BEN CONKLIN. Integrating AI with Foundation Intelligence for Actionable Intelligence

Esri WebGIS Highlights of What s New, and the Road Ahead

ArcGIS Enterprise: Out-of-the-Box Spatial Analysis. Vicki Cove Hilary Curtis

GIS Test Drive What a Geographic Information System Is and What it Can Do. Alison Davis-Holland

Incorporating ArcGIS Pro in your Curriculum

Display data in a map-like format so that geographic patterns and interrelationships are visible

Objectives Define spatial statistics Introduce you to some of the core spatial statistics tools available in ArcGIS 9.3 Present a variety of example a

GIS for Crime Analysis. Building Better Analysis Capabilities with the ArcGIS Platform

Copyright The McGraw-Hill Companies, Inc. Permission required for reproduction or display.

ARCGIS PRO COURSE, APPLIED TO ENVIROMENTAL MANAGEMENT GIS. Course. Training. .com

Elementary Linear Algebra with Applications Bernard Kolman David Hill Ninth Edition

It s a Model. Quantifying uncertainty in elevation models using kriging

SPATIAL MODELING GIS Analysis Winter 2016

Applied Regression Modeling

Preparing Spatial Data

Lecture 8. Spatial Estimation

Creating Watersheds from a DEM

GIS Data Production and Editing Pathway

Exercise 2: Working with Vector Data in ArcGIS 9.3

ArcGIS GeoAnalytics Server: An Introduction. Sarah Ambrose and Ravi Narayanan

October 2011 ArcGIS 10 for Server Functionality Matrix

Arcmap Manual Esri 10 READ ONLINE

ENGRG Introduction to GIS

A Socioeconomic Analysis of the Spatial Distribution of Fire Hydrants. History of Portland Fire Hydrants

Introduction to GIS I

Watershed Modeling With DEMs

Analyst Software. Peptide and Protein Quantitation Tutorial

December 2009 ArcGIS Server Functionality Matrix

How does ArcGIS Server integrate into an Enterprise Environment? Willy Lynch Mining Industry Specialist ESRI, Denver, Colorado USA

GIS Spatial Statistics for Public Opinion Survey Response Rates


DRAFT SYLLABUS. Please use Blackboard to send messages.

GIS Quick Facts. CIVL 1101 GIS Quick Facts 1/5.

Outline. Introduction to SpaceStat and ESTDA. ESTDA & SpaceStat. Learning Objectives. Space-Time Intelligence System. Space-Time Intelligence System

GIS for ChEs Introduction to Geographic Information Systems

Introduction to ArcGIS GeoAnalytics Server. Sarah Ambrose & Noah Slocum

Course overview. Grading and Evaluation. Final project. Where and When? Welcome to REM402 Applied Spatial Analysis in Natural Resources.

17/07/ Pick up Lecture Notes... WEBSITE FOR ASSIGNMENTS AND TOOLBOX DEFINITION DEFINITIONS AND CONCEPTS OF GIS

Chapter 6. Fundamentals of GIS-Based Data Analysis for Decision Support. Table 6.1. Spatial Data Transformations by Geospatial Data Types

No. of Days. ArcGIS 3: Performing Analysis ,431. Building 3D cities Using Esri City Engine ,859

No. of Days. ArcGIS Pro for GIS Professionals ,431. Building 3D cities Using Esri City Engine ,859

Karsten Vennemann, Seattle. QGIS Workshop CUGOS Spring Fling 2015

FIRE DEPARMENT SANTA CLARA COUNTY

Transcription:

Spatial Analysis with ArcGIS Pro STUDENT EDITION

Copyright 2018 Esri All rights reserved. Course version 2.0. Version release date November 2018. Printed in the United States of America. The information contained in this document is the exclusive property of Esri. This work is protected under United States copyright law and other international copyright treaties and conventions. No part of this work may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopying and recording, or by any information storage or retrieval system, except as expressly permitted in writing by Esri. All requests should be sent to Attention: Director, Contracts and Legal, Esri, 380 New York Street, Redlands, CA 92373-8100, USA. Export Notice: Use of these Materials is subject to U.S. export control laws and regulations including the U.S. Department of Commerce Export Administration Regulations (EAR). Diversion of these Materials contrary to U.S. law is prohibited. The information contained in this document is subject to change without notice. Commercial Training Course Agreement Terms: The Training Course and any software, documentation, course materials or data delivered with the Training Course is subject to the terms of the Master Agreement for Products and Services, which is available at http://www.esri.com/~/media/files/pdfs/legal/pdfs/ma-full/ma-full.pdf. The license rights in the Master Agreement strictly govern Licensee's use, reproduction, or disclosure of the software, documentation, course materials and data. Training Course students may use the course materials for their personal use and may not copy or redistribute for any purpose. Contractor/Manufacturer is Esri, 380 New York Street, Redlands, CA 92373-8100, USA. Esri Trademarks: Esri trademarks and product names mentioned herein are subject to the terms of use found at the following website: http://www.esri.com/legal/copyright-trademarks.html. Other companies and products or services mentioned herein may be trademarks, service marks or registered marks of their respective mark owners.

Table of Contents Esri resources for your organization Course introduction Course introduction Course goals Installing the course data Training Services account credentials Icons used in this workbook Understanding the ArcGIS platform 1 Building a foundation for spatial analysis What is spatial analysis? Benefits of spatial analysis Common analysis problems Spatial analysis tools Spatial analysis workflow Applying spatial analysis Answers to Lesson 1 questions 2 Planning and preparing for spatial analysis Data properties Raster data considerations Environment settings Exercise 2: Prepare data for analysis Set up an ArcGIS Pro project Change the coordinate system for a feature class Create a feature class from x,y coordinates Enhance data using a table join Import a map file for a different study area Extract features using the Clip tool Extract raster data using a mask Answers to Lesson 2 questions 3 Proximity analysis i

Using proximity in everyday life Choosing the best distance measure Ways to measure distance Outputs of proximity analysis Buffering using different distance measures Measuring cost Exercise 3: Analyze proximity Prepare the project Select features based on distance Create proximity zones Determine the closest store to each customer Add and calculate a field Create desire lines Create drive-time polygons Create a distance surface Answers to Lesson 3 questions 4 Overlay analysis Introducing overlay How overlay works Overlay tools Choosing the appropriate tool Exercise 4: Perform overlay analysis Make selections based on location Overlay customers and driving times using the Intersect tool Overlay customers and driving times using the Identity tool Remove customers within 15 miles Summarize stream length in a watershed Calculate the amount of each land-use classification Answers to Lesson 4 questions 5 Automating spatial analysis Automating workflows Automation methods in ArcGIS Pro Batch geoprocessing Exercise 5A: Build a model Prepare ArcGIS Pro Create a model ii

Add the XY Table To Point tool Add the Near tool Add the Make Feature Layer tool Add the XY To Line tool Run the model Automating and sharing models Exercise 5B: Use a model to process multiple inputs Prepare ArcGIS Pro and make a copy of a model Add an iterator to a model Set model parameters Change model element labels Answers to Lesson 5 questions 6 Creating surfaces using interpolation Tobler's First Law of Geography What is interpolation? Examining sample data Interpolation methods Interpolation tools Deterministic interpolation Exercise 6: Interpolate surfaces Examine data Set geoprocessing environments Interpolate using the Natural Neighbor tool Interpolate using the Spline tool Interpolate using inverse distance weighted interpolation Examine interpolated values Challenge: Challenge step Answers to Lesson 6 questions Exercise 6 challenge solution 7 Suitability analysis What is suitability analysis? Suitability analysis workflow Evaluating analysis criteria Choosing vector or raster overlay Deriving surfaces from other sources Raster functions and geoprocessing tools iii

Levels of measurement Transforming values to a common scale Exercise 7A: Build a model and classify data to a common scale Prepare a project and set environments Create a model Add input layers and Euclidean Distance tools Add the Slope tool and set parameters Reclassify land-use values Rescale the roads distance surface Rescale the stream distance surface Rescale the slope surface Run the model Types of raster overlay The Raster Calculator Locating and analyzing results Exploring data sources Exercise 7B: Perform suitability analysis Overlay input rasters Create regions Answers to Lesson 7 questions 8 Spatial statistics Spatial patterns What are spatial statistics? Types of spatial statistics Interpreting inferential statistics Descriptive versus inferential Spatial statistics tools Clusters and outliers Clustering tools Exercise 8A: Use spatial statistics to explore data Prepare ArcGIS Pro Locate directional trends in data Run the Average Nearest Neighbor tool Run the Spatial Autocorrelation tool Run the Hot Spot Analysis tool Create a density surface Exercise 8B: Perform clustering and outlier analysis Prepare the project Perform density-based clustering iv

Perform optimized hot spot analysis Perform optimized outlier analysis Answers to Lesson 8 questions 9 Space-time analysis Incorporating time into your analysis Temporal analysis Exploring data Space-time analysis Emerging hot spot analysis Space-time analysis workflow Exercise 9: Explore space-time pattern mining tools Explore data using charts Create a space-time cube Run the Emerging Hot Spot Analysis tool Visualize a space-time cube in 3D Answers to Lesson 9 questions 10 Regression analysis Explaining spatial patterns Causes of spatial patterns What is regression? Regression equation OLS regression Checkpoint Interpreting OLS diagnostics Six OLS checks OLS reports Exploratory regression Exercise 10: Find a properly specified regression model Set up ArcGIS Pro Perform exploratory data analysis Use the OLS tool to test for higher spending factors Evaluate the spatial output from the OLS tool Run the OLS tool on multiple dependent variables Perform OLS checks Enriching data for analysis v

Answers to Lesson 10 questions 11 Geographically weighted regression How relationships change over space GWR characteristics When to use GWR GWR in action Exercise 11: Perform GWR Run GWR using a properly specified OLS model Map coefficients to see variation over space Predict using GWR Answers to Lesson 11 questions 12 Geostatistical interpolation Deterministic interpolation Geostatistical interpolation Kriging Geostatistical workflow Exercise 12: Use the Geostatistical Wizard to perform kriging Set up the ArcGIS Pro project Explore the data distribution Perform kriging using the Geostatistical Wizard Evaluate predicted value and error Empirical Bayesian kriging (EBK) 13 3D analysis When to use 3D analysis 3D analysis examples Interactive 3D analysis Exercise 13: Perform 3D analysis Set up the project Create sight lines Perform line-of-sight analysis Create a 3D buffer Intersect 3D features vi

Answers to Lesson 13 questions Appendices Appendix A: Esri data license agreement Appendix B: Answers to lesson review questions Appendix C: Additional resources vii