Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
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This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This Tutorial consists of four tutorials that deal with integrating the statistical programming language R with ArcGIS for Desktop. Several concepts are covered which include configuring ArcGIS with R, writing basic R scripts, writing R scripts that work with ArcGIS data, and constructing R Tools for use within ArcGIS Pro. It is recommended that the tutorials are completed in sequential order. Each of the four tutorials (as well as a version of this document), can viewed directly from your Web browser by following the links below. However, you must obtain a complete copy of the tutorial files by downloading the latest release (or by cloning the tutorial repository on GitHub) if you wish to follow the tutorials interactively using ArcGIS and R software, along with pre-configured sample data.To download the tutorial documents and datasets, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/r-arcgis-tutorials.gitSoftware & Solutions Used: ArcGIS Pro 3.4 Internet browser (e.g., Mozilla Firefox, Google Chrome, Safari) R Statistical Computing Language – version 4.3.3 R-ArcGIS Bindings – version 1.0.1.311RStudio Desktop – version 2024.09.0+375Time to Complete: 2.5 h (excludes installation time)File Size: 115 MBDate Created: November 2017Last Updated: December 2024
The only book that teaches human geography themes within an ArcGIS Online environmentApplying new skills to established topics, this is how you want to examine human geography.Introduction to Human Geography Using ArcGIS Online combines a comprehensive examination of human geography with engaging activitiesusing the ArcGIS Online service.Birth rates are higher in one country than another. Why? Are there patterns? Are there correlations? Introduction to Human Geography Using ArcGIS Online readers are doers, using sophisticated software to actively explore, analyze, and answer these questions and many more. ArcGIS Online exercises in each chapter dig into those numbers and their spatial relationships, enhancing students’ grasp of geographic concepts.Instructors tailor classroom examples and homework assignments to local geography. Introduction to Human Geography Using ArcGIS Online bridges classroom lecture and live, current, interactive data for reinforced learning and a hybridized teaching approach.Human geography, meet The Science of Where™.AUDIENCEProfessional and scholarlyAUTHOR BIOJ. Chris Carter is a Professor of Geography at Long Beach City College. He has over 15 years of experience teaching human geography and GIS, as well as courses on world regional geography and economic geography. He has a BA in Sociology from the University of California, Berkeley, an MA from San Diego State University, an MBA from California State University, Long Beach, and a PhD in Geography from San Diego State University/University of California, Santa Barbara. He presented on crime patterns in Long Beach at the 2015 Esri Users’ Conference.Pub Date: Print: Feb 25, 2019 Digital: Feb 6, 2019ISBN: 9781589485181 9781589485198 Trim: 8.0 X 10.0Price: $74.99 USD $74.99 USD Pages: 440TABLE OF CONTENTSPrefaceAcknowledgmentsChapter 1: IntroductionChapter 2: PopulationChapter 3: MigrationChapter 4: Race and EthnicityChapter 5: Urban GeographyChapter 6: Food and AgricultureChapter 7: ManufacturingChapter 8: ServicesChapter 9: DevelopmentChapter 10: Cultural Geography—Folk and Popular Culture, Language,ReligionChapter 11: Political GeographyChapter 12: Humans and the Environment—Pollution and Climate ChangeAbout the AuthorIndexChris Carter | Interview with Esri Press | 2020/07/10 | 19m05s | Link.
Water bodies are a key element in the landscape. This layer provides a global map of large water bodies for use in landscape-scale analysis.Dataset SummaryThis layer provides access to a 250m cell-sized raster of surface water created by extracting pixels coded as water in the Global Lithological Map and the Global Landcover Map. The layer was created by Esri in 2014.What can you do with this layer?This layer is suitable for both visualization and analysis. It can be used in ArcGIS Online in web maps and applications and can be used in ArcGIS Desktop.This layer has query, identify, and export image services available. This layer is restricted to a maximum area of 16,000 x 16,000 pixels - an area 4,000 kilometers on a side or an area approximately the size of Europe. This layer is part of a larger collection of landscape layers that you can use to perform a wide variety of mapping and analysis tasks.The Living Atlas of the World provides an easy way to explore the landscape layers and many other beautiful and authoritative maps on hundreds of topics.Geonet is a good resource for learning more about landscape layers and the Living Atlas of the World. To get started see the Living Atlas Discussion Group.The Esri Insider Blog provides an introduction to the Ecophysiographic Mapping project.
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Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/
License information was derived automatically
This resource was created by Esri Canada Education and Research. To browse our full collection of higher-education learning resources, please visit https://hed.esri.ca/resourcefinder/.This Tutorial consists of four tutorials that deal with integrating the statistical programming language R with ArcGIS for Desktop. Several concepts are covered which include configuring ArcGIS with R, writing basic R scripts, writing R scripts that work with ArcGIS data, and constructing R Tools for use within ArcGIS Pro. It is recommended that the tutorials are completed in sequential order. Each of the four tutorials (as well as a version of this document), can viewed directly from your Web browser by following the links below. However, you must obtain a complete copy of the tutorial files by downloading the latest release (or by cloning the tutorial repository on GitHub) if you wish to follow the tutorials interactively using ArcGIS and R software, along with pre-configured sample data.To download the tutorial documents and datasets, click the Open button to the top right. This will automatically download a ZIP file containing all files and data required.You can also clone the tutorial documents and datasets for this GitHub repo: https://github.com/highered-esricanada/r-arcgis-tutorials.gitSoftware & Solutions Used: ArcGIS Pro 3.4 Internet browser (e.g., Mozilla Firefox, Google Chrome, Safari) R Statistical Computing Language – version 4.3.3 R-ArcGIS Bindings – version 1.0.1.311RStudio Desktop – version 2024.09.0+375Time to Complete: 2.5 h (excludes installation time)File Size: 115 MBDate Created: November 2017Last Updated: December 2024