Course Contents

I. Introduction to modern Techniques in Geography • GIS (with Arc GIS software) • GPS • RS (Google Earth, USGS satellite image processing ) II. Field-based Survey • Questionnaire-based survey, • GPS-based survey III. Modeling Dynamic Process • DEM extraction and development, 3-D development, spatial Modeling. • Raster, vector, and Hybrid, Data Rectification, Editing Cartographic Data • Visualization of Geospatial Data, Data management system, Symbolization and Map Layouts Development, 3D Visualization of Spatial Data, Geo-coding, Geo-database development, advanced image classifications, Point Spatial Analysis, Lines and Networks analysis, Performing Network Analysis, Area Objects, and Spatial Autocorrelation, Analyzing Fields, Spatial Interpolations, Geo-statistical Analysis, Map Overlay Analysis, Multivariate Data, • Image Analysis: Introduction, visual interpretation, digital processing, preprocessing, enhancement, transformations, and classifications IV. Integration of Modern techniques in the following research areas • Climatology and meteorology • Disaster management • Urban land use • Geomorphology V. Project Lab work: Introduction to SPSS, MS Excel, Arc GIS, ERDAS imagine, and other relevant software for quantitative analysis.

Course Synopsis

This course teaches various advanced geostatistical methods through lab exercises and a final project. This course is designed to make students aware of the basic concepts regarding remote sensing data capturing, classification, analyzing, monitoring, and mapping for geo-information production. To train the students in digital cartography advanced map interpretation and the use of graphics. Practical assignments will be conducted to enable the students to map preparation map reproduction and publication.

Course Learning Outcomes

• This course produces skills in the application of these geostatistical tools and methods in analyzing the geodata in applied research. • To train the students in the field of Marketing Geography both in the urban and regional contexts. • By the end of the course, the Ph.D. research students would be able to represent spatial data on maps and diagrams. Their analytical capabilities in maps and other graphics will also improve. Moreover, they will be able to draw suitable maps and diagrams by using the Freehand software. This course would help students in understanding advanced geo-information technology such as spatial databases, accuracy assessment, and database query, statistical analysis of spatial data, 2D and 3D spatial modeling.