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Modelling with GIS
This valuable reference book is unique in its coverage of examples from the geological sciences, many centred on applications to mineral exploration. The underlying principles of GIS are stressed and emphasis placed on the analysis and modelling of spatial data with applications to site selection and potential mapping. The book commences with a definition of GIS and describes a case study of mapping mineral potential. The ways in which spatial data are organized with models (raster, vector, relational) are discussed and data structures, such as quadtrees and topological structures are introduced. Data input including digitizing, geographic projections and conversions is covered together with output (visualization, representation of colour and spatial query). Spatial data transformations are dealt with thoroughly and attention is paid to map analysis and modelling as related to single maps, map pairs and multiple maps respectively. Methods of quantifying the associations between pairs of maps are emphasized. Finally, examples of landfill site selection and mineral potential mapping illustrate the application of map algebra for combining maps and tables with models, employing Boolean logic, index weighting, fuzzy logic and probability methods such as weights of evidence. There is an extensive glossary of terms, and references accompany each chapter. Contains 40 pages of colour illustrations.
For students and professionals in all geoscience applications including mineral and oil exploration, resource assessment, environmental analysis and assessment, geological engineering, terrain science, remote sensing, soil science, regional mapping, medical geology and hazard analysis. Also of interest to all GIS users involved in planning, physical geography, image processing, forestry, agriculture, coastal management and wildlife ecology.
The digital Paullin arrives at what seems like a fortuitous moment. In recent years, scholars have paid increasing attention to the spatial aspects of history, using sophisticated Geographic Information Systems technology to reveal previously unseen patterns of change. The Richmond labâs 2012 Visualizing Emancipation project, for example, plots out intricate interactions between federal policy, the Union and Confederate Armies, and thousands of enslaved people, illuminating how liberation unfolded on the ground.
At the same time, other researchers are taking a fresh look at old maps, exploring how they represent not just changes in the nationâs boundaries and places, but also deeper shifts in its self-understanding