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Course:Geographical Information Systems Level: Postgraduate Time: Currently not offered |
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| Syllabus Past Exams Syllabus: Part I 1. Historical view of maps: Various maps (e.g. geographic and mathematical); Deterministic and non-deterministic models and/or maps; Certain popular Coordinate systems; What spatial maps contain (points, lines, objects); Spatial and temporal Scales; Basics of Spatial data acquisition, Information Retrieval and Analysis, reasoning, and modeling; Transformations involved in space-time modeling; Digital geographics, frameworks, theories to formalize use and development of geographic information systems and services. 2. Spatial data and spatial map: Continuous data, discrete data, episodic data; popular data formats; collection and acquisition of spatial data, collection standards, conflation, digitization; Geocoding, positional accuracy, consistency, and data quality; Spatial Data structures and databases; Raster vs. Vector; Storage, access methods, and indexing; Sources of geographic images: Aerial imaging and photogrammetry, remote sensing; representation of other data (e.g. census data, business data, digital elevation models, health geographic data) in to spatial formats; Spatial data representation and visualization; Information zonation, zone prioritization, spatial spread, basics of digital image processing and analysis. 3. Analytic and retrieval techniques: Geocoding; Representation of data in to maps; Spatial data mining; Geoprocessing environment; Classifying satellite images; Processing ancient maps for better preservation; Map registration; Map integration: Classification schemes; Data mining and pattern discovery, image Processing and recognition/computer vision techniques; Computational geometry, structure based segmentation, feature decomposition into –gons; Information retrieval, location allocation, network Analysis, similarity search and approximate matching; Statistical and geostatistical analysis. 4. Modeling: Commonly sharing physical mechanisms—basic measures, universal scaling laws, self-organized criticality exhibited by universal power laws; Map algebra via mathematical morphology; Relationships, topology, basic mathematical morphology operations, mathematical morphology to deal with global and structural information, expressing spatial relationships in terms of morphological operations; algebraic structure of mathematical morphology; equivalents in set theoretical terms; Directional mathematical morphology and reformalized Hough transformation for the analysis of topographic maps; Map matching method; Euclidean metrics and Non-Euclidean metrics, Minkowski distance, Hausdorff distances; Similarity search; Spatiotemporal data and information visualization and modeling; Spatial interpolations via recursive generation of median element; Spatial extrapolations, Spatial autocorrelation vs Spatial dependency; Coupled spatial models; Spatial and/or temporal information complexity; How to construct an attractor explaining the spatial and/or temporal behavior of a phenomenon? New insights from spatial information science explaining the spatio-temporal behavior. 5. GIS information sources, GIS softwares (e.g. ArcInfo, IDRISI, Geoda, SQL for spatial data mining etc); Certain case studies—Cartography, Earth Sciences, Astronomy, Emergency and Crisis Management, Environmental Monitoring, Impact Assessment, Medical Imagery and Atlases, Public Safety and Homeland Security, Traffic and Transportation, Urban Planning and Management. Part II Project: Each project is proposed to carry out by maximum of two students. Projects are related to either exploring the utility of OpenGIS software or solving an open problem* in Geospatial Science. At the end of the project, a report of 15-20 pages (with single line spacing) should be submitted. *Facility Planning and Allocation. Reference Texts: 1. About 10 relevant Papers from Technical periodicals 2. Image Analysis and Mathematical Morphology, Jean Serra 3. Spatial Databases: A Tour , Authors: Shashi Shekhar and Sanjay Chawla, Prentice Hall, 2003 (ISBN 013-017480-7) 4. GIS: a computing perspective (2nd Edittion) By Michael Worboys, Matt Duckham, CRC Press, 2004, p. 456. 5. Directional Mathematical Morphology and Reformalized Hough Transformation for the Analysis of Topographic Maps, Hiromitsu Yamada, Kazuhiko Yamamoto, Member, IEEE, and Katsumi Hosokawa, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 15, no. 4, 1993. 6. Mathematical morphology and spatial relationships: quantitative, semi-quantitative and symbolic settings, Applying soft computing in defining spatial relations book contents, p. 63-98, 2002, Isabelle Bloch, Publisher: Physica-Verlag, Germany 7. Spatial Analysis: Modelling in a GIS Environment, (Eds: Paul Longley and Michale Batty), Wiley, 1996. 8. GIS and Geocomputation, Eds: Peter Atkinson and David Martin, Taylor & Francis Publishers, 2000. 9. Fractal Cities, Michael Batty and Paul Longley, Academic Press, London, 1996, ISBN 0124555705 10. Complex Spatial Systems: The Modelling Foundations of Urban and Regional Analysis, Alan G Wilson, 0582418968, p. 184. 2000. Top of the page Past Exams | ||||||||
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[Indian Statistical Institute] |