Mapping IV — GIS Modeling
GIS World magazine February 2007 to December 2013
with links to all Beyond Mapping columns
Table of Contents
(click links below to access topics)
Introduction – Extending Basic GIS Concepts
Topic 1 – Extending Grid-based Data Concepts
Topic 2 – Extending Effective Distance Procedures
Topic 3 – Extending Terrain Analysis Procedures
Topic 4 – Extending Spatial Statistics Procedures
Topic 5 – Structuring GIS Modeling Approaches
Topic 6 – Education Outside the Traditional Lines
Topic 7 – Spatial Data Mining in Geo-business
Topic 8 – GIS Modeling in Natural Resources
Topic 9 – Math/Stat Framework for Map Analysis
Topic 10 – Future Directions and Trends
Epilog – The Continuing Promise of GIS Modeling
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GIS Modeling: Applying Map Analysis Tools and Techniques
Description and Annotated Table of Contents
GIS Modeling: Applying Map Analysis Tools and Techniques is a collection of selected works from Joe Berry’s popular “Beyond Mapping” columns published in GeoWorld magazine from 2007-2013. This compilation extends earlier discussions of map analysis concepts, procedures, approaches, applications and issues affecting contemporary relevance and future potential.
Geotechnology (the spatial triad of remote sensing (RS), GIS and GPS) has “taken to the net” and become routine in most workplaces and general users’ computers, tablets and mobile devices. As a ubiquitous “technological tool,” it has become an indispensible part of daily life and interwoven into the fabric of modern society.
Geotechnology’s expression as an “analytical tool” is poised for a similar run and promises to forever change how people perceive geographic space and its intersection with numeric space to understand spatial relationships without the simplifying assumptions previously found in science and practice before the digital map. This transformative book is sure to alter experienced and novice readers’ perceptions and paradigms of “what a map is (and isn’t)” and how mapped data can be analyzed for startling new revelations of the world around us.
Introduction Extending Basic GIS Concepts — Comparing paper and digital map worlds identifies an entirely new beast that supports radically new mapping approaches, perspectives and opportunities with all the rights, privileges and responsibilities of traditional quantitative data analysis. This section explores the differences in vector and raster data forms, their implications for resolving spatial detail, and the rethinking of geo-referencing schema.
Topic 1 Extending Grid-based Data Concepts — Grid-based raster maps store a map value at each location in a matrix to identify the characteristic/condition occurring at that grid cell. This topic describes how individual map layers are assembled into georegistered map stacks, defining the continuous distribution of each map variable for use in the quantitative analysis of mapped data (Spatial Analysis and Spatial Statistics) that’s a direct extension of nonspatial math/stat procedures.
Topic 2 Extending Effective Distance Procedures — Effective distance considers intervening absolute and relative barriers in characterizing movement through geographic space. This topic describes the underlying concepts and basic approaches used to establish variable-width buffers, travel-time surfaces and optimal path routing as well as contiguity and narrowness measures.
Topic 3 Extending Terrain Analysis Procedures — Terrain analysis, one of the oldest applications of grid-based map analysis, characterizes the relative steepness and directional orientation of an elevation surface. This topic investigates additional techniques for landscape segmentation, determining longitudinal and transverse slopes of linear features, identifying upland ridges, and determining uphill/downhill/across portions and line-of-sight connectivity within roving windows.
Topic 4 Extending Spatial Statistics Procedures — Spatial Statistics relaxes the assumption that a “typical value” (e.g., average) is evenly distributed over a project area to characterize the continuous spatial distribution of field data, using such information to assess relationships within and among various map layers. This topic establishes the underlying concepts and procedures for developing spatial distributions, and then extends traditional nonspatial techniques into the spatial realm, such as generating maps of localized variations in Correlation and T-test.
Topic 5 Structuring GIS Modeling Approaches — Grid-based GIS Modeling, in many respects, is an extended form of traditional mathematical modeling that manipulates matrices representing the spatial distribution of map variables. This topic examines the “map-ematical structure” for processing map layers, data-handling approaches, concerns surrounding precision and accuracy, and the similarities and differences among different types of GIS models.
Topic 6 Education Outside the Traditional Lines — GIS education has evolved significantly during four decades, with an early focus on training GIS specialists needed for transforming paper map information, procedures and mindsets into digital forms. More recently, education has broadened its focus to innovative solutions involving domain experts from a multitude of disciplines and incorporating rapidly evolving technological advances. This topic discusses the different perspectives of “the trailing ‘S’ in GIS” (Systems, Specialist, Science and Solutions), its impacts on GIS education and the probable increased emphasis on nontraditional GIS students in developing “spatial-reasoning” skills across campus.
Topic 7 Spatial Data Mining in Geo-business — Maps historically had minimal application in business operations, planning and decision making. However, with the advent of digital mapped data analysis/modeling, a more thorough understanding of spatial patterns and relationships are proving critical in successful marketing, financial, logistical and managerial actions. This topic links numerical and spatial distributions to uncover “unusual response” areas, identifies areas having relative similarity and clustering tendencies, and describes a Universal Database Key that promises to revolutionize database technology.
Topic 8 GIS Modeling in Natural Resources — Maps and mapping have long been a cornerstone of natural-resources management. However, map analysis/modeling capabilities have extended the traditional “where is what” spatial inventories to “why, so what and what if” understandings of spatial interactions among critical factors that are radically changing natural-resources research, policy formation, decision making and operations. This topic examines the use of Effective Distance in generating more realistic assessments of forest access for timber harvesting and emergency response, and then extends the discussion to how spatial technology promises to change the very fabric of the natural-resources paradigm.
Topic 9 Math/Stat Framework for Map Analysis — Map Analysis and GIS Modeling are poised to radically change science, technology, engineering and math (STEM) curricula at the K-12 and college levels by infusing spatial reasoning and analysis into traditional classroom settings. This topic establishes a generalized math/stat framework that directly extends current quantitative data-analysis procedures into the spatial realm by considering maps as “spatially organized data layers” (as opposed to graphical images) that have all the rights, privileges, responsibilities and analytical potential of traditional nonspatial data.
Topic 10 Future Directions and Trends — Geotechnology’s only consistent element is its ability to change. In just four decades, it has evolved from automated cartography to spatial database technology to analytic engine operating with mapped data and software in the cyber-cloud. This topic suggests a probable future that dramatically alters perspectives of “what a map is and isn’t” by expanding the flat 2-D (x,y) view of geographic space to a 3-D (x,y,z) and 4-D (x,y,z,time) view by fundamentally changing the 300-plus-year-old Cartesian referencing system.
Epilog The Continuing Promise of GIS Modeling — Geotechnology has great potential for good (and bad). This topic discusses the good, the bad and the ugly sides of geotechnology, with particular attention to enduring impacts on how people perceive, process, promote and practice innovative ways to understand the spatial patterns and relationships that impact all systems (physical, climatic, biological, economic, political, social and cultural).