Practical GIS Analysis
"Practical GIS Analysis" by David L. Verbyla is a comprehensive guide for GIS professionals and students who want to learn practical GIS analysis. The book covers a wide range of topics related to GIS data models, tabular analysis, point analysis, line analysis, network analysis, dynamic segmentation, polygon analysis, grid analysis, and image analysis.
"Chapter 1 GIS Data Models" is a book that introduces readers to various Geographic Information System (GIS) data models. The first chapter covers different themes used in GIS, such as point, line, polygon, grid, and image themes. The book also discusses tools that can be used to manage GIS features, such as dynamic segmentation and building attribute tables. Each section of the chapter includes exercises to help readers practice what they have learned.
"Chapter 2 GIS Tabular Analysis," readers learn about selecting table records, descriptive statistics, summarizing tables, and other commonly used tabular tools. The chapter also covers indexing attributes and includes tabular analysis exercises.
"Chapter 3 Point Analysis" focuses on area, distance, and attribute analysis tools. Readers learn how to analyze point data and practice using the tools in exercises.
"Chapter 4 Line Analysis," readers learn about tools for analyzing line data, such as dissolve, countvertices, buffer, reselect, and intersect. The chapter includes line analysis exercises.
"Chapter 5 Network Analysis" covers tools used for address geocoding, optimal routing, finding closest facilities, resource allocation, and turn tables in networks. The chapter includes network analysis exercises.
"Chapter 6 Dynamic Segmentation" discusses dynamic segmentation and how it can be used to analyze routes and sections. Readers learn about event types and creating events, and practice using the tools in exercises.
"Chapter 7 Polygon Analysis" covers tools for analyzing polygon data, such as dissolve, eliminate, clip, split, erase, update, and spatial joins. The chapter includes polygon analysis exercises.
"Chapter 8 Grid Analysis," readers learn about tools used for grid arithmetic operators, selection operations, grouping operations, distance operations, optimal path operations, and topographic operations. The chapter includes grid analysis exercises.
"Chapter 9 Image Analysis" covers image display, linear contrast stretch, image rectification, resampling options, unsupervised classification, supervised classification, seed pixel training fields, image classifiers, maximum likelihood classification, classification accuracy assessment, reference data, error matrix, producer's and consumer's accuracy, and image analysis exercises.
"Chapter 10 Vector Exercises" includes practical exercises for real estate application, moose habitat analysis, fire hydrant inspection application, forest fire application, and emergency phone application.
"Chapter 11 Grid Exercises" includes practical exercises for real estate application, watershed application, waterfowl habitat analysis, groundwater application, and moose habitat analysis.
"Chapter 12 Saving Time in GIS Analysis" offers tips and tricks for saving time while working with GIS, such as working while playing, avoiding telephone tag, painless documentation, assuming your GIS lies, considering abandoning your GIS, not repeating yourself, and indexing features and attributes. The chapter also discusses issues with GIS tables.
Overall, "Practical GIS Analysis" by David L. Verbyla is an essential guide for GIS professionals and students who want to learn practical GIS analysis. The book covers a wide range of topics and provides exercises to help readers practice and understand the concepts. The book also emphasizes the importance of time-saving techniques in GIS analysis and highlights common issues and solutions.