The Ins and Outs of ArcGIS Data Analysis [Video]

More Information
Learn
  • Work with XY data and coordinate systems in ArcMap
  • Spatially analyze data using functions in ArcGIS Toolbox
  • Edit sessions and features in ArcMap
  • Georeference different image datasets in ArcMap
  • Create a new feature class for your project
  • Spatially analyze your raster and vector data in ArcMap
  • Perform surface analysis such as slopes, aspects, and viewsheds
About

ArcGIS provides a scalable framework for implementing GIS solutions for a single user or many users on desktops, in servers, over the web, and in the field. Analyzing spatial data has now become simpler than ever with ArcGIS 10.5x, a major release that comes with many new capabilities with regard to its server and cloud capabilities.

In this course, you will start by learning how to analyze spatial data in ArcGIS Desktop. You will learn to work with the basics of coordinate systems and map projections, as well as vector overlays in ArcMap. Next, you will learn how to create your own data sets. At times you will come across the need to work with datasets that do not already exist in online dictionaries. You will learn how to make new datasets and edit them as well as geo referencing existing datasets in ArcMap. Finally you will be taught how to model continuous phenomena or land use by using raster data. You will learn how to work with raster data in ArcMap, as well as functions for modeling landscape characteristics and land use change.

By the end of this video tutorial, you will know how to work with different types of data for modeling your maps in ArcGIS.

Style and Approach

In-depth content balanced with tutorials that put the theory into practice. The focus of this course is on giving you the understanding and the practical examples that will allow you indulge in the art of geographical data analysis with ArcGIS.

Features
  • Solid examples to get your head around the application of spatial analysis using ArcMap
  • Filled with real-world, practical examples that show you how to jump in and start building effective prediction models
  • Covers important concepts such as point-pattern analysis, dataset relationships, and the core principles of geographic data analysis
Course Length 2 hours 24 minutes
ISBN 9781788396219
Date Of Publication 30 Oct 2017

Authors

Kyle Walker

Kyle Walker is an Assistant Professor of Geography at Texas Christian University. He conducts research in population geography, and teaches courses in human geography, Geographic Information Systems, and data analysis. Kyle describes himself as a geographer working in the areas of spatial demography, spatial data science, and R programming. His work has been featured in venues such as CityLab, Boston.com, and FiveThirtyEight, along with a wide variety of academic journals. He is based in Fort Worth, Texas.