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Dive into spatial data modeling and spatial database management systems to enhance your application development skills. This course covers representation of spatial data, building and developing applications with spatial databases, and advanced topics. No textbook required, only lecture notes provided. References include seminal works on spatial data structures and databases. Evaluation includes programming assignments utilizing PostGIS, JDBC, GeoServer, and QGIS. Enhance your expertise in spatial databases and GIS applications.
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Spatial Databases- Course Overview Spring 2017 Ki-Joune Li
Course Overview • Goals • Understanding Spatial Databases and • Improving Application Development Skill with Spatial DBMS • No Textbook • Only lecture notes • Some References • Hanan Samet, “Design and Analysis of Spatial Data Structures”, 1990 • Hanan Samet, “Applications of Spatial Data Structures”, 1990 • Albert K. W., Yeung and G. Brent , “Spatial Database Systems: Design, Implementation and Project Management”, 2007 • Yannis Manolopoulos, Apostolos N. Papadopoulos, and Michael Gr Vassilakopoulos, “Spatial Databases: Technologies, Techniques and Trends”, 2004 • Shashi Shekhar and Sanjay Chawla, “Spatial Databases: A Tour”, 2002 • Philippe Rigaux, Michel Scholl, and Agnès Voisard, “Spatial Databases: With Application to GIS”, 2001 • Micheal F. Worboys, “GIS: a Computing Perspective”, CRC Press, 2004 • Robert Laurini, Derek Thompson, “Fundamentals of Spatial Information Systems”, APIC Series, 1992
Plan • Representation of Spatial Data • Spatial Data Model • Spatial Database Management Systems • Building Spatial Databases • Developing Applications with Spatial Databases • Advanced Issues
Evaluation • Participation: 10% • Programming Assignment: 50% • Final Tests: 40%
Programming Assignments • To develop application systems of spatial databases • Using Spatial DBMS: PostGIS + JDBC • Using Open Source Geospatial S/W: GeoServer, QGIS