This project is focused on the goal of improving access to the Water Resources Institute (WRI) archives using a web-based GIS architecture. This project uses the newest version of ArcGIS Server as a method to support an internet-based map search environment, improved information management and data sharing.

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Computer representation of the continuous two-dimensional features on a map is complicated by the spatial properties not found in typical alphanumeric data. We have designed an entity-oriented relational system for representing the cartographic data, using the concept of spatial data structures. Each geographic entity such as a region, road, or city is represented by a set of relations describing its properties, its related entities, and all the relationships among them. The thesis presents the description of the first experimental cartographic information system based on these concepts to store and retrieve watershed data for a portion of the Wise county in the state of Virginia. The thesis describes the logical structure of the database, the physical structures in memory and on the dist, a guery language interpreter which is used to access the information in the database, and a memory management scheme to transfer the structures back and forth between memory and secondary device. / Master of Science

In this thesis we describe a spatial information system. A spatial data structure is used as the building block of the system. Prototypes, a high level query language and an associated retrieval scheme particularly designed for the hierarchical and relational spatial data structure are discussed. / M.S.

The main scope of this project is to rebuild and deploy web applications that will help share historical artifacts related to the Santa Ana watershed. This project is designed to give a consistent user interface and add extra tools to enhance the functionality of existing applications at the Water Resources Institute (WRI) at California State University San Bernardino (CSUSB). The purpose of this project is to migrate all applications to a single server and update the applications using ArcGIS Server 9.2. Also to give a consistent look to the applications and to make them user friendly.

The Table Mountain group aquifer system has the potential to be an important supply of water. Although the aquifer system is used to some extent, a number of aspects relating to the aquifer system are poorly understood and unquantified. This study aimed to take into consideration the importance of differenct ecosytems, which is essential in predicting the effects of groundwater abstruction. However, the ecological requirements of systems that depend on groundwater are poorly understood. This project identified &quot / type areas&quot / for further detailed research into the impacts of large-scale groundwater abstraction from the Table Mountain group aquifer system based on the nature and functioning of ecosystems across groundwater dependent ecosystem boundaries of a regional scale.

Recent years have seen a rapid growth in movement research owing to new technologies contributing to the miniaturization and reduced costs of tracking devices. Similar trends have occurred in how environmental data are being collected (e.g., through satellites, unmanned aerial vehicles, and sensor networks). However, the development of analytical techniques for movement research has failed to keep pace with the data collection advances. There is a need for new methods capable of integrating increasingly detailed movement data with a myriad of contextual data - termed context aware movement analysis (CAMA). CAMA investigates more than movement geometry, by including biological and environmental conditions that may influence movement. However, there is a shortage of methods relating movement patterns to contextual factors, which is still limiting our ability to extract meaningful information from movement data. This thesis contributes to this methodological research gap by assessing the state-of-the art for CAMA within movement ecology and human mobility research, developing innovative methods to consider the spatio-temporal differences between movement data and contextual data and exploring computational methods that allow identification of patterns in contextualized movement data. We developed new methods and demonstrated how they facilitated and improved the integration between high frequency tracking data and temporally dynamic environmental variables. One of the methods, multi-channel sequence analysis, is then used to discover varying human behaviour relative to weather conditions in a large human GPS tracking dataset from Scotland. The second method is developed for combing multi-sensor satellite imagery (i.e., image fusion) of differing spatial and temporal resolutions. This method is applied to a GPS tracking data on maned wolves in Brazil to understand fine-scale movement behaviours related to vegetation changes across seasons. In summary, this thesis provides a significant development in terms of new ideas and techniques for performing CAMA for human and wildlife movement studies.

The Table Mountain group aquifer system has the potential to be an important supply of water. Although the aquifer system is used to some extent, a number of aspects relating to the aquifer system are poorly understood and unquantified. This study aimed to take into consideration the importance of differenct ecosytems, which is essential in predicting the effects of groundwater abstruction. However, the ecological requirements of systems that depend on groundwater are poorly understood. This project identified &quot / type areas&quot / for further detailed research into the impacts of large-scale groundwater abstraction from the Table Mountain group aquifer system based on the nature and functioning of ecosystems across groundwater dependent ecosystem boundaries of a regional scale.

Thesis (MA)--Stellenbosch University, 2003. / ENGLISH ABSTRACT: Geodemographics has been used extensively as a decision-support tool in both the business sector and the market survey environment in the United States, the United Kingdom and numerous other countries. This has however not been the case in South Africa, partly because of the expense involved in capturing current and complete customer information. As an alternative to capturing all the required customer information, geodemographics has frequently made use of government census data to supplement the organisation-specific data. However, even the census data has its shortcomings. This research has explored a method for building an organisation-specific database using a combination of government census data and organisation-specific data. The organisation-specific data was captured using a questionnaire that was targeted to a specific group of people. The information obtained from the questionnaire and which overlapped with specific census data variables was then used to update the relevant census variables. Cluster analysis was subsequently conducted on the census data in order to identify enumerator areas within the Western Province that had demographic and economic characteristics similar to those of the surveyed areas. Once the appropriate enumerator areas had been identified, the organisation-specific information from the survey was extrapolated to these new areas outside of the surveyed areas. The methodology used in this research provides a process that allows organisations to build a unique geodatabase by making use of the good qualities of both the census data and user-specific data. The resulting geodatabase is one that contains current and pertinent information while also providing complete spatial coverage. / AFRIKAANSE OPSOMMING: Geodemografie word op groot skaal gebruik as n hulpmiddel vir die ondersteuning van besluitneming in die sakesektor en die markopname-omgewing in die Verenigde State, die Verenigde Koninkryk en talle ander lande. Dit is egter nie in Suid-Afrika die geval nie, deels as gevolg van die onkoste verbonde aan vaslegging van die jongste en volledige kliente-inligting. As n altematief vir die vaslegging van al die vereiste kliente-inligting maak geodemografie dikwels gebruik van sensusdata om data eie aan n organisasie aan te vul. Selfs sensusdata het egter tekortkominge. Hierdie navorsing het n metode ondersoek vir die opbou van n databasis eie aan n organisasie deur gebruik te maak van n kombinasie van sensusdata en data eie aan n organisasie. Die data eie aan ri organisasie is vasgele deur gebruik te maak van ri vraelys vir n spesifieke teikengroep. Die inligting wat uit die vraelys verkry is en wat met die spesifieke sensusdataveranderlikes ooreengestem het, is toe gebruik om die relevante sensusveranderlikes by te werk. Skakelingsanalise is daama op die sensusdata uitgevoer ten einde opnemerareas in die Westelike Provinsie te identifiseer wat soortgelyke demografiese en ekonomiese kenmerke gehad het as die areas waarin die vraelysopname gemaak is. Nadat die geskikte opnemerareas gei'dentifiseer is, is die inligting eie aan die organisasie uit die opname geekstrapoleer na hierdie nuwe areas buite die areas waar die opname gemaak is. Die metodologie wat in hierdie navorsing gebruik is, verskaf n metodologie wat organisasies in staat stel om n unieke geodatabasis op te bou deur gebruik te maak van die goeie eienskappe van beide die sensusdata en die data eie aan die gebruiker. Die geodatabasis wat hieruit voortspruit, is een wat die jongste en verbandhoudende inligting bevat en volledige ruimtelike dekking bied.