Arc Hydro Groundwater: GIS for Hydrogeology Review

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Arc Hydro Groundwater: GIS for Hydrogeology ReviewCollege-level collections strong in water resource management and geology will find this a solid reference offering information on a new geographic data model for groundwater. It packs in descriptions on the use of GIS to support groundwater modeling applications, providing simulation models, 3D subsurface representation and models, and more, and offers the data with the book in a downloadable format. Students will find this a top pick for applying GIS concepts to hydrogeology concerns.
Arc Hydro Groundwater: GIS for Hydrogeology Overview
Arc Hydro Groundwater: GIS for Hydrogeology describes the groundwater data model, a new geodatabase design for representing groundwater systems using ArcGIS software. The groundwater data model shares a common framework with the surface water components of the Arc Hydro data model, offering a comprehensive overview of water resources. Arc Hydro Groundwater uses sample datasets from the Edwards Aquifer and other locations in Texas to address the data model framework, 3D subsurface representation, geological mapping, 3D hydrogeologic models, time series for hydrologic systems, and groundwater simulation models.


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Designing Geodatabases: Case Studies in GIS Data Modeling Review

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Designing Geodatabases: Case Studies in GIS Data Modeling ReviewThis book provides a good introduction of steps and principles in designing geodatabases and the importance of information products and identifying thematic layers. The book presents 7 complex models: streams and river networks, census units and boundaries, addresses and locations, parcels and cadastre, surveying federal lands, using raster data, cartography and the base map.For each model they present the features, feature data sets, relationships, and topology rules. Readers working in these 7 areas will probably gain most from the book.
I would have also liked simpler examples and more design principles on grouping features into feature data sets. One of the strengths of this book is in stressing the value of topology rules, and feature data sets are needed for topology rules. With a database background, I would have liked fuller exploration of database relationships and normality contrasted with GIS relationship classes, relates, and joins, since data is often "flattened" when put into GIS. Readers of this should probably start with Modeling Our World: The Esri Guide to Geodatabase design by Michael Zeiler.
Designing Geodatabases: Case Studies in GIS Data Modeling OverviewThis guide to creating a dynamic GIS data model helps database managers design a schema that has comprehensive and descriptive query definitions, a user-friendly cartographic display, and increased performance standards. The five steps for taking a data model through its conceptual, logical, and physical phases, including modeling the user's view, defining objects and relationships, selecting geographic representations, matching geodatabase elements, and organizing the geodatabase structure are studied in detail. A look at nine decision points that deal with concerns common to all data modeling exercises, such as validating feature geometries, modeling linear networks, managing raster data, and labeling map features help database managers fine-tune their GIS data models. Several design models for a variety of applications are considered including addresses and locations, census units and boundaries, stream and river networks, and topography and the base map.

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Open Source GIS: A GRASS GIS Approach Review

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Open Source GIS: A GRASS GIS Approach ReviewI bought this book because I needed to use GRASS and R to produce maps with the results of statistical analysis. Though I am an experienced programmer, I had never used R neither any GIS. The tutorials available on the Internet were enough to learn R, but GRASS was a brick wall.
After reading and trying the examples until page 200, I found myself able to work with raster and vectorial maps. Since I was completely illiterate on GIS, I learned in the book how the raster and vector data are organized, how to alter and combine maps and how to manage the vector databases. The sections about R and GRASS integration was very useful. Although it was of no particular interest to me, there are several sections about spatial analysis tools, 2D and 3D output, image processing and GRASS programing.
The book is not an exhaustive descriptions of the commands, which should be found on the GRASS documentation. It is more like a hands-on tutorial that makes you familiar with the system and the commands, even if you are novice. It will also be useful for people familiar with the graphic interface of other systems who need to start working with the command line.Open Source GIS: A GRASS GIS Approach OverviewThoroughly updated with material related to the GRASS6, the third edition includes new sections on attribute database management and SQL support, vector networks analysis, lidar data processing and new graphical user interfaces. All chapters were updated with numerous practical examples using the first release of a comprehensive, state-of-the-art geospatial data set.

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