The city of Cape Town's history of designed inequality has continued to maintain and extend barriers to accessing affordable housing for poor and working-class families. This work explores the emergence of occupation as a working-class housing and survival strategy that innovatively addresses these barriers to accommodation. Through intimate one on one conversations and shared experiences, this research unpacks the home-making journeys of a small group of residents at Cissie Gool House in Woodstock, investigating their grapplings with citizenship, past pursuits of home, and the rebuilding and reimagining of space undertaken as they continue to transform a hospital into a home. This thesis has found that occupied spaces such as Cissie Gool House have empowered residents to create fulfilling, central, home spaces for themselves that innovatively address the shortcomings of state housing schemes, while additionally developing social networks and programs that uplift, educate and support residents.

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No description available.

Thesis (MTech. degree in Nature Conservation)--Tshwane University of Technology, 2008. / Wildlife monitoring is fundamentally necessary to understand how ecosystems function and how environmental changes affect wildlife populations and natural habitats. Traditionally wildlife monitoring has relied primarily on statistical analysis to interpret trends and patterns. A constraint of these techniques is an inability to detect spatial changes over time. This study investigated the use of geographic information systems (GIS) to add a spatial context to both short- and long-term wildlife monitoring.

Artificial Intelligence Lab, Department of MIS, University of Arizona / Digital libraries with multimedia geographic content present special challenges and opportunities in today's networked information environment. One of the most challenging research issues for geospatial collections is to develop techniques to support fuzzy, concept-based, geographic information retrieval. Based on an artificial intelligence approach, this project presents a Geospatial Knowledge Representation System (GKRS) prototype that integrates multiple knowledge sources (textual, image, and numerical) to support concept-based geographic information retrieval. Based on semantic network and neural network representations, GKRS loosely couples different knowledge sources and adopts spreading activation algorithms for concept-based knowledge inferencing. Both textual analysis and image processing techniques have been employed to create textual and visual geographical knowledge structures. This paper suggests a framework for developing a complete GKRS-based system and describes in detail the prototype system that has been developed so far.

Thesis (M.S.)--Texas State University-San Marcos, 2008. / Vita. Appendices: leaves 55-56. Includes bibliographical references (leaves 57-60). Also available on microfilm.

Thesis (Ph. D.)--University of Washington, 2007. / Vita. Includes bibliographical references (leaves 149-154).

Thesis (M.S.)--Oregon State University, 1999. / Typescript (photocopy). Includes bibliographical references (leaves 73-76). Also available on the World Wide Web.

Thesis (M.Phil.)--University of Hong Kong, 1998. / Includes bibliographical references (leaves 111-125) Also available in print.

Thesis (M.S.)--Florida State University, 2005. / Advisor: Dr. Yassir Abdelrazig, Florida State University, College of Engineering, Dept. of Civil and Environmental Engineering. Title and description from dissertation home page (viewed June 7, 2005). Document formatted into pages; contains x, 181 pages. Includes bibliographical references.