Dissertations / Theses on the topic 'Land use – Kansas – Data processing'

The challenge of resolving land use allocation and policy questions depends to a large degree on the conversion of data into information, and the effective integration of information into the decision process. Land evaluation is one of the fundamental means of generating information for land planning. Information products have however, been inconsistently and ineffectively used in the decision process. This thesis develops a decision centered approach to land evaluation as a response to this concern. Included in this development is a description of important theoretical concepts, as well as a practical demonstration of the use of decision support systems as a design approach. Initially, a conceptual model is introduced illustrating the technical and use components of information generation, as well as the adaptive design cycle. Various terms and techniques involved in the technical aspects of land evaluation are reviewed. Decision making concepts including decision structure, environment, analysis, and criteria are outlined. Three existing methods of land evaluation are then compared from a use or decision making perspective. Having completed a review of current approaches, Decision Support Systems are introduced as a logical progression towards a decision centered approach. Decision Support System design is demonstrated using a portion of the Central Fraser Valley Regional District as a case study area combined with an interactive microcomputer land planning tool (LANDPLAN). The demonstration emphasizes the advantages of the flexible, interactive capabilities of Decision Support Systems in aiding the decision process. Iterative design is also promoted with several needs identified if a more complete system is to be developed. In particular, data on strategic long term supply and demand factors is required, as well as continuous rating functions for assessing land performance.
Science, Faculty of
Resources, Environment and Sustainability (IRES), Institute for
Graduate

All land uses affect storm water runoff However, different uses of the same site generate varying amounts of runoff Many communities have come to rely upon detention and/or retention basins for controlling the additional runoff resulting from land development. It is argued that this incremental approach to storm water management must be replaced with a more proactive long-term view.To achieve this, more user-friendly software capable of modeling the effect long-range land use plans have on the volume and behavior of storm water runoff is needed. This software, called a Spatial Decision Support System (SDSS), must be capable of guiding the user, who may not be an expert at runoff analysis, through the process and also capable of generating output in various formats understandable by lay persons. This study utilizes a systems analysis technique to develop a theoretical framework for the Storm Water SDSS.
Department of Urban Planning

Thesis (MSc)--Stellenbosch University, 2005.
ENGLISH ABSTRACT: Remote sensing and image processing tools provide speedy and up-to-date information on land resources. Although remote sensing is the most effective means of land cover and land use mapping, it is not without limitations. The accuracy of image analysis depends on a number of factors, of which the image classifier used is probably the most significant. It is noted that there is no perfect classifier, but some robust classifiers achieve higher accuracy results than others. For certain land cover/uses, discrimination based only on spectral properties is extremely difficult and often produces poor results. The use of ancillary data can improve the classification process. Some classifiers incorporate ancillary data before or after the classification process, which limits the full utilization of the information contained in the ancillary data. Expert classification, on the other hand, makes better use of ancillary data by incorporating data directly into the classification process. In this study an expert classification model was developed based on spatial operations designed to identify a specific land cover/use, by integrating both spectral and available ancillary data. Ancillary data were derived either from the spectral channels or from other spatial data sources such as DEM (Digital Elevation Model) and topographical maps. The model was developed in ERDAS Imagine image-processing software, using the expert engineer as a final integrator of the different constituent spatial operations. An attempt was made to identify the Level I land cover classes in the South African National Land Cover classification scheme hierarchy. Rules were determined on the basis of expert knowledge or statistical calculations of mean and variance on training samples. Although rules could be determined by using statistical applications, such as the classification analysis regression tree (CART), the absence of adequate and accurate training data for all land cover classes and the fact that all land cover classes do not require the same predictor variables makes this option less desirable. The result of the accuracy assessment showed that the overall classification accuracy was 84.3% and kappa statistics 0.829. Although this level of accuracy might be suitable for most applications, the model is flexible enough to be improved further.
AFRIKAANSE OPSOMMING: Afstandswaameming-en beeldverwerkingstegnieke kan akkurate informasie oorbodemhulpbronne weergee. Alhoewel afstandswaameming die mees effektiewe manier van grondbedekking en grondgebruikkartering is, is dit nie sonder beperkinge nie. Die akkuraatheid van beeldverwerking is afhanklik van verskeie faktore, waarvan die beeld klassifiseerder wat gebruik word, waarskynlik die belangrikste faktor is. Dit is welbekend dat daar geen perfekte klassifiseerder is nie, alhoewel sekere kragtige klassifiseerders hoër akkuraatheid as ander behaal. Vir sekere grondbedekking en -gebruike is uitkenning gebaseer op spektrale eienskappe uiters moeilik en dikwels word swak resultate behaal. Die gebruik van aanvullende data, kan die klassifikasieproses verbeter. Sommige klassifiseerders inkorporeer aanvullende data voor of na die klassifikasieproses, wat die volle aanwending van die informasie in die aanvullende data beperk. Deskundige klassifikasie, aan die ander kant, maak beter gebruik van aanvullende data deurdat dit data direk in die klassifikasieproses inkorporeer. Tydens hierdie studie is 'n deskundige klassifikasiemodel ontwikkel gebaseer op ruimtelike verwerkings, wat ontwerp is om spesifieke grondbedekking en -gebruike te identifiseer. Laasgenoemde is behaal deur beide spektrale en beskikbare aanvullende data te integreer. Aanvullende data is afgelei van, óf spektrale eienskappe, óf ander ruimtelike bronne soos 'n DEM (Digitale Elevasie Model) en topografiese kaarte. Die model is ontwikkel in ERDAS Imagine beeldverwerking sagteware, waar die 'expert engineer' as finale integreerder van die verskillende samestellende ruimtelike verwerkings gebruik is. 'n Poging is aangewend om die Klas I grondbedekkingklasse, in die Suid-Afrikaanse Nasionale Grondbedekking klassifikasiesisteem te identifiseer. Reëls is vasgestel aan die hand van deskundige begrippe of eenvoudige statistiese berekeninge van die gemiddelde en variansie van opleidingsdata. Alhoewel reëls met behulp van statistiese toepassings, soos die 'classification analysis regression tree (CART)' vasgestel kon word, maak die afwesigheid van genoegsame en akkurate opleidingsdata vir al die grondbedekkingsklasse hierdie opsie minder aantreklik. Bykomend tot laasgenoemde, vereis alle grondbedekkingsklasse nie dieselfde voorspellingsveranderlikes nie. Die resultaat van hierdie akkuraatheidsskatting toon dat die algehele klassifikasie-akkuraatheid 84.3% was en die kappa statistieke 0.829. Alhoewel hierdie vlak van akkuraatheid vir die meeste toepassings geskik is, is die model aanpasbaar genoeg om verder te verbeter.

Simulating geographic phenomena in a realistic and plausible way requires real-world entities to be abstracted based on the dynamic physical characteristics they exhibit, and treated as individuals in a simulation domain. These processes cannot be adequately supported by the traditional spatial model based on cellular-space such as Cellular Automata (CA). Although this approach has received a great attention as a most favoured technique for simulating the geographic phenomena from different aspects, the need for a generic spatial model to overcome the limitations encountered in such an approach has been raised. This applies particularly to the way real-world entities are represented in a simulation domain regarding their physical characteristics and temporal aspects. In this thesis, a new computational approach for a spatial model suitable for simulating geographic phenomena is presented: the vector agents model. The vector agent is goal-oriented, adaptable, physically defined by an Euclidean geometry and able to change its own geometric characteristics while interacting with other agents in its neighbourhood using a set of rules. The agent is modelled with sensor, state, and strategies. The successful implementation of the model�s architecture allows the representation of the physical characteristics of real-world entities and to observe their complex and dynamic behaviour in a simulation domain. Vector agents have developed out of a need to create a systematic basis for the geometric components of Geographic Automata Systems (GAS), as outlined by Torrens and Benenson (2005). A generic vector agents model was built, then tested and validated from different aspects, from which results demonstrated the model�s efficiency. It is confirmed that vector agents are flexible in producing different complex shapes and patterns for recreating real geographic phenomena through the generic use of three algorithms of geometric manipulation: midpoint displacement by using the relaxed Brownian Motion (fractal-like) algorithm, edge displacement and vertex displacement. The effectiveness of this was initially ascertained visually. A simple heuristic to govern shape growth rate and complexity was derived based on the interplay of the three algorithms. There was a further abstract model comparison against the cellular-agents environment, with the result that vector agents have the ability to emerge patterns similar to what can be produced by cellular-agents with the advantage of representing entities as individuals with their own attributes with realistic geometric boundaries. On the other hand, the city as a complex geographic phenomenon was used as a specific domain for validating the model with a real-world system. The results of the urban land use simulations (driven by simple rules based on three classical urban theories) confirmed that: (a) the model is flexible enough to incorporate various external rules based on real-world systems and (b) the model has a sufficient capability in emerging a variety of patterns under several environments close to actual patterns. The agent environment also proved to be an effective way of easily combining the rules associated with each urban theory (different agents behaved according to different theories). Finally, limitations raised through the development of this work are addressed leading to outline possible extensions of both model computation and the domain of applications.

Thesis (MSc)--University of Stellenbosch, 2006.
ENGLISH ABSTRACT: Rural development problems faced by the impoverished communities in the Transkei, South Africa, are numerous, and environmental degradation has already taken much of its toll. By working at a micro-catchment-level both the socio-economic and biophysical appreciation of the land resources were captured as encapsulated in the concept of resource management domains. Participatory decision-making allowed functional land use goals and evaluation criteria to be incorporated into computerised multi-criteria evaluation and multi-objective land use allocation models in order to reach an idealised or more sustainable land use situation. In the execution of the decision-making process seven procedural steps were followed, which are discussed in detail and applied in the case study. Synthesis of the results emphasised the envisaged rural planning potential of the methods used.
AFRIKAANSE OPSOMMING: In terme van plattelandse ontwikkeling staar talle probleme die behoeftige gemeenskappe van Transkei, Suid-Afrika, in die gesig en omgewingsdegradering neem ongehinderd sy tol. Deur op ‘n mikro-opvangsgebied vlak te werk kon beide die sosio-ekonomiese en biofisiese waarde van die gebied se hulpbronne bepaal word en uitgebeeld word in hulpbron bestuursdomeine. Deur deelnemende besluitneming is funksionele grondgebruiksdoelwitte en evaluasie kriteria gebruik in gerekenariseerde meervoudige kriteria evaluering en veeldoelige grondgebruiksaanwysingsmodelle ten einde die ideale of ‘n meer volhoubare grondgebruik situasie te verkry. Vir die uitvoering van die besluitnemingsproses is van sewe opeenvolgende stappe gebruik gemaak en die uitvoering daarvan word in diepte bespreek in hierdie gevallestudie. Sintese van die resultate het die potensiaal van hierdie beoogde landelike beplanningsmetodes beklemtoon.

Protection of the visual environment begins with a comprehensive documentation and evaluation of existing conditions followed by the development of guidelines pertaining to future alterations. This thesis examines existing methods of visual assessment and the needs of the land planner for the purpose of understanding the necessary components of evaluating the visual environment effectively. The objective has been to develop a new method of visual documentation and evaluation that can be utilized by land planners for the visual assessment of road corridors. In order to achieve this objective, a visual assessment of a Significant road corridor in Blacksburg, Virginia has been conducted. Various necessary components have been included in the assessment and a relational database management program has been used in the storage of all collected data. As a result of this process, it was found that a new method, which borrows from past processes, addresses the needs of the land planner, and utilizes an interactive medium for storage of data, is successful in addressing the objective. The new method has been successful in including the necessary components such as qualitative evaluation with adaptive descriptive nomenclature and photographic documentation of the existing corridor. The database has many qualities which are meaningful to land planners. Relational database management programs have the capability of storing text as well as photographs. For land planners to view the various aspects of the corridor, a simple pressing of their computer mouse button moves the them from one aspect to another.
Master of Landscape Architecture

Orientador: Jansle Vieira Rocha
Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Agrícola
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Resumo: O aumento na produção da cana-de-açúcar vem gerando grande discussão sobre a sustentabilidade da produção e a sua influência direta na mudança de uso da terra, principalmente em áreas de pastagem e cultura anual. O estudo da dinâmica da cana-de-açúcar tem influência direta em questões como a composição da produção agrícola, nos impactos sobre a biodiversidade, no desenvolvimento social e humano e na definição de políticas públicas. Índice de vegetação, através de séries temporais de imagens, tem sido utilizado para mapeamento de uso da terra de grandes áreas (estados, países ou regiões), através de produtos do sensor MODerate resolution Imaging Spectroradiometer (MODIS). Este trabalho avaliou o desempenho de diferentes técnicas de filtragem em séries temporais e também realizou detecção automatizada de áreas de cana-de-açúcar e principais usos da terra para os anos de 2005, 2008 e 2012, e consequente mudança de uso da terra, utilizando séries temporais NDVI/MODIS, no estado de Mato Grosso. Foi utilizado o NDVI dos produtos MOD13Q1 e MYD13Q1 do sensor MODIS para identificação das áreas de diferentes usos da terra. Primeiramente foram avaliados os filtros Savitz-Golay , HANTS e Flat Bottom de maneira individual e também com a combinação Flat Bottom + HANTS e Flat Bottom + Savitz-Golay, nas séries de dados somente referentes ao NDVI MODIS/Terra e em conjunto com NDVI MODIS/Aqua. Tendo o resultado, que a utilização MODIS/Terra e MODIS/Aqua trouxe melhora significativa no resultado da classificação, quando utilizado em conjunto a algum filtro de série temporal, sendo o Savitzky-Golay, o que apresentou melhor resultado na diferenciação dos alvos. Na identificação e mapeamento automatizado, de áreas de cana-de-açúcar e outros principais usos da terra para a região (cultura anual, pastagem, cerrado e mata), para os anos de 2005, 2008 e 2012, os valores de acertos para cana-de-açúcar foram de 83%, 82% e 85% nos anos 2005, 2008 e 2012, respectivamente, e o acerto total foram de 89%, 88% e 89%, também para os anos 2005, 2008 e 2012. Ao cruzar os mapeamentos, foi possível realizar a análise da mudança de uso da terra para cana-de-açúcar. A certeza na mudança de uso da terra, quando implementa em áreas anteriormente destinadas a agricultura anual foi de 80% e 82%, na comparação de 2005 para 2008 e 2008 para 2012, respectivamente. No uso anterior de pastagem e cerrado este valor apresentou valores de 69% e 30%, respectivamente, na mudança de 2005 para 2008, e 66% e 34%, respectivamente, na mudança de 2008 para 2012. O resultado na analise de mudança de usa da terra teve a predominância de áreas de pastagem como principal uso anterior a cana-de-açúcar, seguida pela agricultura e o cerrado como responsável pelo restante do uso anterior da terra. Assim, o método para identificação da mudança de uso da terra apresentou um erro a ser considero, porém a tendência de ocorrência se apresenta de maneira consistente
Abstract: The production increase of sugarcane has generated discussion about the sustainability of production and its direct impact on the land use change, especially in pasture and annual crops areas. The study of the dynamics of sugarcane has a direct impact on issues such as the composition of agricultural production, the impacts on biodiversity, social and human development and the definition of public policies. Vegetation index through time series images have been used to map land use of large areas (states, countries or regions) using sensor Moderate Resolution Imaging Spectroradiometer (MODIS). This study evaluated the performance of different time series smoothing techniques and also held automated detection of sugarcane areas and main land uses for the years 2005, 2008 and 2012, and the consequent land use change, using NDVI/MODIS time series in Mato Grosso state. It was used NDVI product of MOD13Q1 and MYD13Q1 to identify areas of different land uses. At first, Savitz-Golay, Hants and Flat Bottom individually and also the combination Flat Bottom + Hants and Flat Bottom + Savitz-Golay, it was applied on NDVI time series data only related to MODIS/Terra and in conjunction with MODIS/Aqua. The result was that the use MODIS/Terra and MODIS/Aqua brought significant improvement in the overall classification, when used in conjunction with any time series smoothing, and the Savitzky-Golay showed better results in the differentiation of targets. The mapping areas of sugarcane and other major land uses (annual crops, grassland, savanna and forest), for the years 2005, 2008 and 2012, the number of right answers for sugarcane were 83 %, 82 % and 85 % in the years 2005, 2008 and 2012, respectively, and total accuracy were 89 %, 88 % and 89 %, also for the years 2005, 2008 and 2012. When crossing the maps, it was possible to perform the analysis of the land use change to cane sugar. The certainty of change in land use, when deploy in areas previously designed to annual agriculture was 80 % and 82 % in 2005 compared to 2008 and 2008 compared to 2012 respectively. The past use of grassland and savannah, this value, showed values of 69 % and 30 %, respectively, in the change from 2005 to 2008, and 66 % and 34 %, respectively, in the change from 2008 to 2012. The result of the study of land use changing had the predominance of grazing areas as the former principal use sugarcane, followed by agriculture and savanna as responsible for the remainder of the previous land use. Thus, the method to identifying the change of land use has an error to consider, but the trend appears to occur consistently
Mestrado
Planejamento e Desenvolvimento Rural Sustentável
Mestre em Engenharia Agrícola

Research Report submitted in partial fulfilment for the degree of Master of Science (Geographical Information Systems and Remote Sensing) School of Geography, Archaeology and Environmental Studies, University of the Witwatersrand, Johannesburg. August 2016.
The thematic classification of land use and land cover (LULC) from remotely sensed imagery data is one of the most common research branches of applied remote sensing sciences. The performances of the pixel-based image analysis (PBIA) and object-based image analysis (OBIA) Support Vector Machine (SVM) learning algorithms were subjected to comparative assessment using WorldView-2 and SPOT-6 multispectral images of the Mokhotlong District in Lesotho covering approximately an area of 100 km2. For this purpose, four LULC classification models were developed using the combination of SVM –based image analysis approach (i.e. OBIA and/or PBIA) on high resolution images (WorldView-2 and/or SPOT-6) and the results were subjected to comparisons with one another. Of the four LULC models, the OBIA and WorldView-2 model (overall accuracy 93.2%) was found to be more appropriate and reliable for remote sensing application purposes in this environment. The OBIA-WorldView-2 LULC model was subjected to spatial overlay analysis with DEM derived topographic variables in order to evaluate the relationship between the spatial distribution of LULC types and topography, particularly for topographically-controlled patterns. It was discovered that although that there are traces of the relationship between the LULC types distributions and topography, it was significantly convoluted due to both natural and anthropogenic forces such that the topographic-induced patterns for most of the LULC types had been substantial disrupted.
LG2017

The issue of land recording and keeping in the Communal Area of Namibia has been a severe dilemma to the Government. Various types of land disputes are on increase and continue to be predominant despite various Acts, Policies and other related Legislations on the Land Administration and Management passed by Namibian Parliament. Since the establishment of the Oshana Communal Land Board, effort was made to keep conventional records of information pertaining to land parcels in communal areas of Oshana Region. However, spatial information about the land ownership records is still not available in a well-designed and organised system. The non-existence of Land Information Management (LIM) System using Land Information Systems (LIS) application as management tool contributed to this problem. However, Oshana Communal Land Board used manual based system with incomplete coverage and less comprehensive information. In most cases decision makers have to make critical decisions based on little or no information. Therefore, LIM System and data sharing are the major features of the OSHCLB and in order to facilitate these processes there is a need for the introduction of LIS application. Adequate land information is crucial to sustainable development and sound information systems are of vital importance to land management systems. This is also been expressed in the various reports including the Operational Manual for Communal Land Board in Namibia. The user needs and requirements were carefully considered during the data collection stage. The system was designed using proven methodologies, which were explained and reasons for the choice is discussed. However, the detailed LIS applications can be pursued by other researchers or consultants in the future to make the system complete.
Thesis (M.Env.Dev.)-University of KwaZulu-Natal, Pietermaritzburg, 2005.

Accurate and current land use information for urban areas is important for effective management and planning. Over the years, researchers/planners have relied heavily on aerial photographs for land use information of urban areas because of the limitations of deriving more accurate land use estimates from satellite remote sensing data. The main problem involved in producing accurate land use maps of cities and towns from satellite images is that urban areas consist of a complex assemblage of different land cover types, many of which have very similar spectral reflectance characteristics. This is because land use is an abstract concept- n amalgam of economic, social and cultural factors-that is defined in terms of functions rather than forms. The relationship between land use and the multispectral signals detected by a satellite sensor is therefore both complex and indirect. In many European cities, residential areas are characterized by a complex spatial assemblage of tile roof, slate roof, glass roof buildings, as well as tarmac, concrete and pitch roads, and gardens (comprised of grass lawns, trees and plants). In North American cities, roofing materials are more commonly composed of wood and shingles. In both settings all these "objects" together form the residential areas or residential districts of town or city, but each of them has a different spectral reflectance. So, in generating a land use map from remotely sensed image, buildings, roads, gardens, open spaces will be identified separately. Keeping this in mind, this thesis evaluates eight selected land use classification methods for the Vancouver metropolitan area, identifies the most accurate and suitable method for urban land use classification, and produces a land use map of the study area based on the most suitable method. The study area is a part of Greater Vancouver Regional District (GVRD). It includes Vancouver, Burnaby, Richmond, Delta, and parts of seven other municipalities. The whole area is highly urbanized and commercialized. Agricultural lands are present in the southern part of the study area (which includes parts of Richmond, Delta and Surrey). For this study four sources of data have been used. The 1996 Greater Vancouver regional District (GVRD) land use map is the basic source of land use information. A remotely sensed image of May 1999 (Landsat 7) has been used for the identification of land cover data, Vancouver and Fraser valley orthophotos (May/July 1995) have been used to locate sample sites, and aerial photos of May 1999 (1:30,000) have been used for ground verification.

Governments all over the world are being challenged to develop Spatial Data Infrastructure (SDI), to improve the access and use of spatial data for decision support and sustainable development. Therefore, SDI is part of the basic infrastructure that needs to be efficiently implemented and managed in the interest of any nation. The aim of this study, therefore, is to assess the feasibility of SDI implementation in Rwanda, using the Land administration geospatial data sector as a case study, given time constraints of the research. To achieve this, the concept of SDI is firstly explained in order to provide a common understanding of the concept. The new trends in the new Land Administration System of Rwanda, with emphasis on spatial data management are also presented. This information is generated from various written materials. Field work was also conducted by means of questionnaires, interviews and observation in attempt to assess Land Administration geospatial data, related assets and gaps with reference to SDI framework requirements. A situational analysis is carried out from the field work results. The research sets the scene providing the major findings. The main spatial data providers are public and based on national level. Land use and cadastral related spatial data are the least developed, and Land Administration application data are quiet non-existent. Various users, mainly decision makers, exist but lack effective access to data. A number of challenges, such as a high duplication of data collection and maintenance, lack of appropriate ways of data sharing, a shortage of human resources in Geo-information, absence of policies and regulations, are also found in the Land Administration spatial data sector. Nevertheless, the new Land Administration System orientations and national priorities in terms of information technology, offer a favourable environment for the implementation of SDI. Having considered this, the research proceeds to propose a Land Administration SDI prototype with its main application of Spatial Data discovery Facility, and then highlights its benefits. The research ends with a conclusion and recommendations for future research.
Thesis (M.Env.Dev.)-University of KwaZulu-Natal, Pietermaritzburg, 2007.

Land information is a an important resource in planning, and in undertaking land administration functions such as allocation of interests to land, land adjudication, land valuation, physical planning, etc. Rapid urbanization, however, puts great pressure on personnel delegated to undertake these functions. The personnel can no longer cope with capturing, processing and disseminating land information for the increasing urban population. Observing the failures of land information management to cope with rapid urbanization, the researcher undertook an exploration into the capabilities of LIS to manage land informatioo for The Millennium Park Land Development Project (MPLDP) in Maseru, the Lesotho capital. The project is based on land readjustment principles and is of mulli-stakeholdership. Such big and networked projects have been shown to be associated with land information management problems. Undertaking this research was motivated by many success stories however, world wide, in which LIS was introduced as a tool to assist in land information management. The main themes in this project are firstly, the study of Land re-adjustment as a land management technique to meet land demand for urbanization and secondly land information system as a tool to manage land information for a land re-adjustment project. Study of LR will help understand what land information is required for such a land management project. Study of land information system will help exploring its capabilities that can be applied to manage land in formation for LR projects. Furthermore, as a case study to this, the MPLDP system is analysed. examining the activities and ways in which land information is managed. This analysis is aimed at identifying the constraints that result in the observed back logs in the project activities; and recommending improvements. Many problems and constraints are identified in the MPLDP. As a land surveyor, only improvements related to technical constraints are considered in this research, with cognizance of the legal and institutional issues that need to be addressed in implementation of these improvements. The main improvement discussed is the creation of automated databases and illustrations are given on how these databases could be used to manage land information effectively for the MPLDP.
Thesis (M.Sc.Sur.)-University of Natal, Durban, 2001.

For local authorities to manage land policies effectively data bases of land use information that are current and mirror development on the ground are required. At present local authorities have no mechanisms in place to acquire maintain and spatially link land use information. Detailed land use information is not generally available at the local level. Generally little attention is paid to maintaining the expensive data which is assembled when planning schemes, development plans or projects are prepared. Land use planning has traditionally focussed on the control rather than the facilitation of development. Details of the actual land use on the ground are generally ignored as tariffs for tax purposes are set on the zoning of the land or a flat rate rather than the actual land use. This lack of land use information, which is exacerbated by informal settlement, causes delays in approving new land uses. There is generally no data available for informal areas and land use and tenure is subject to the informal rules that have evolved with such settlements. If these areas are to be included in the formal land management systems, ways of including and maintaining land use information about these settlements must be developed. By reviewing land information theory, the South African legal land development framework and using a small town as a case study, I have shown that provided certain conditions are met a Spatial Decision Support System (SDSS), designed to record and maintain the land use data necessary to support land use planning in both formal and informal contexts, could be a valuable land management tool. Such a system should be implemented in partnership with local communities and should; • support local level land use decision making and regulation • serve as a land management tool to integrate formal and informal communities • have mechanisms to keep land use information current • be transparent about the type of land use information • develop linkages with regional government to provide detailed land information over time.
Thesis (M.Sc.Sur.)-University of Natal, Durban, 2002.

The knowledge and application of land information and GIS in Eritrea are very limited and as a result there is a shortage of sufficient, reliable, up-to-date and modem land information for decision-making. This study aimed to develop and design a GIS-based cadastral database for land administration in the city of Asmara, Eritrea. The two components of the cadastral data, the spatial and non-spatial were collected and processed in a GIS environment. GIS-based cadastral data was created to store the data. A recently acquired IKONOS image and existing Auto CAD data were the main sources of data for the study. Geo-rectification, conversion, ,building of topology, spatial adjustment, and digitizing were used' for creating the parcels and roads of Asmara city. A key of relation was created to link both the spatial and non-spatial components of the cadastre. The study used illustrated practical examples to show how GIS-based cadastral data could support land administration as practiced by the different divisions of the Municipal Office of Asmara city. The importance and usage of the cadastral database for urban planners and property valuators were detailed. Spatial and network analysis were used to develop bands for creating a banded property appraisal system for assessing the service catchment area~ of hospitals and the only fire station. Further, a location allocation model was <,I:lso developed to recommend suitable sites for new fire stations in the city of Asmara. It is recommended that the Municipal Office of Asmara adopts the designed GIS-based database. It is also recommended there the major cities in Eritrea follow similar methodology to design and implement cadastre database for their administration.
Thesis (M.Sc.)-University of KwaZulu-Natal, Pietermaritzburg, 2004.

M.Sc. (Geography)
Landsat TM and SPOTMSS data were analysed and classified using two different procedures and the resulting maps were evaluated with respect to land use in the Sandton urban-rural fringe. The Landsat TM data consisted of 6 spectral bands (0,45-0,52, 0,52-0,60, 0,63-0,69, 0,760,90, 1,55-1,75, 2,08-2,35 IJm). The SPOT MSS data (one image taken in summer and one in winter) consisted of 3 spectral bands (0,50-0,59, 0,61-0,68, 0,79-0,89 IJm). The data from the two systems were stretched statistically so that all bands showed similar spread on both sides of the median. A ground truth map was obtained from the Sandton Town Council against which the final land use maps derived from Landsat and SPOT were compared for accuracy. The satellite data were analysed in two steps to compile the land use maps: The first step was a cluster analysis based on ISODATA of Ball and Hall (Ball, m..al, 1965). The result were 3 maps with 34, 30 and 35 spectral classes for Landsat TM and the SPOT seasonal images. The next step was a combination of cluster analysis and nearest-neighbour analysis. Examples of the land uses required for the final maps were chosen and for each a histogram of spectral classes was compiled. A nearest-neighbour analysis was done to determine how many pixels of the same class lie next to each other. All the pixels in the spectrally classified image were viewed in conjunction with the surrounding pixels; a histogram and nearest-neighbour analysis was done for each. The results were then compared to that of the land use examples and each pixel was allocated to the land use class which it most resembled. The evaluation involved a computerised comparison of the land use maps with the ground truth map obtained from the Sandton Town Council. The final results were three different land use maps, each created with one image (Landsat TM, SPOTsummer, or winter images). The land use classes identified on each map were: agricultural holdings; high density residential areas; low density residential areas; townhouses (only from the SPOTimages); a combination of commercial and industrial areas; parks; unused land; recreational areas. Comparative use of the two satellite based data acquisition systems leads the author to conclude that: Landsat TM was best for mapping agricultural holdings and high density residential areas; the SPOT summer image was best for mapping townhouses, parks, unused land and recreational areas, the SPOT winter image was best for mapping low density residential areas and commercial/industrial areas. Both systems may be regarded as data sources for urban research, for the mapping of land use in urban-rural fringes. The result of this study is the provision of an easily updated land use map of the Sandton urban-rural fringe to aid effective planning and control where future development will take place.

Finally, the newly integrated model was firstly applied to analyze the relationship of land use and hydrologic regimes based on the land use maps in 1980 and 2000. Then the newly integrated model was applied to simulate the potential impacts of land use change on hydrologic regimes in the East River Basin under a series of hypothetical scenarios. The results show that ET has a positive relationship with Leaf Area Index (LAI) while runoff has a negative relationship with LAI in the same climatic zone, which can be elaborated by surface energy balance and water balance equation. Specifically, on an annual basis, ET of forest scenarios is larger than that of grassland or cropland scenarios. On the contrary, runoff of forest scenarios is less than that of grassland or cropland scenarios. On a monthly basis, for most of the scenarios, particularly the grassland and cropland scenarios, the most significant changes occurred in the rainy season. The results indicate that deforestation would cause increase of runoff and decrease of ET on an annual basis in the East River Basin. On a monthly basis, deforestation would cause significant decrease of ET and increase of runoff in the rainy season in the East River Basin.
In order to effectively simulate hydrologic impact of LUCC, an integrated model of ESEBS and distributed monthly water balance model has been developed in this study. The model is capable of considering basin terrain and the spatial distribution of precipitation and soil moisture. Particularly, the model is unique in accounting for spatial and temporal variations of vegetation cover and ET, which provides a powerful tool for studying the hydrologic impacts of LUCC. The model was applied to simulate the monthly runoff for the period of 1980-1994 for model calibration and for the period of 1995-2000 for validation. The calibration and validation results show that the newly integrated model is suitable for simulating monthly runoff and studying hydrologic impacts ofLUCC in the East River Basin.
Land use/cover change (LUCC) has significantly altered the hydrologic system in the East River (Dongjiang) Basin. Quantitative modeling of hydrologic impacts of LUCC is of great importance for water supply, drought monitoring and integrated water resources management. An integrated eco-hydrologic modeling system of Distributed Monthly Water Balance Model (DMWBM), Surface Energy Balance System (SEBS) was developed with aid of GIS/RS to quantify LUCC, to conduct physically-based ET (evapotranspiration) mapping and to predict hydrologic impacts of LUCC.
The physically-remote-sensing-based Surface Energy Balance System (SEBS) was employed to estimate areal actual ET for a large area rather than traditional point measurements . The SEBS was enhanced for application in complex vegetated area. Then the inter-comparison with complimentary ET model and distributed monthly water balance model was made to validate the enhanced SEBS (ESEBS). The application and test of ESEBS show that it has a good accuracy both monthly and annually and can be effectively applied in the East River Basin. The results of ET mapping based on ESEBS demonstrate that actual ET in the East River Basin decreases significantly in the last two decades, which is probably caused by decrease of sunshine duration.
These results are not definitive statements as to what will happen to runoff, ET and soil moisture regimes in the East River Basin, but rather offer an insight into the plausible changes in basin hydrology due to land use change. The integrated model developed in this study and these results have significant implications for integrated water resources management and sustainable development in the East River Basin.
To begin with, in order to evaluate LUCC, understand implications of LUCC and provide boundary condition for the integrated eco-hydrologic modeling, firstly the long-term vegetation dynamics was investigated based on Normalized Difference Vegetation Index (NDVI) data, and then LUCC was analyzed with post-classification methods and finally LUCC prediction was conducted based on Markov chain model. The results demonstrate that the vegetation activities decreased significantly in summer over the years. Moreover, there were significant changes in land use/cover over the past two decades. Particularly there was a sharp increase of urban and built-up area and a significant decrease of grassland and cropland. All these indicate that human activities are intensive in the East River Basin and provide valuable information for constructing scenarios for studying hydrologic impacts of LUCC.
Wang, Kai.
"December 2010."
Adviser: Yongqin Chen.
Source: Dissertation Abstracts International, Volume: 73-04, Section: A, page: .
Thesis (Ph.D.)--Chinese University of Hong Kong, 2011.
Includes bibliographical references (leaves 203-227).
Electronic reproduction. Hong Kong : Chinese University of Hong Kong, [2012] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Electronic reproduction. [Ann Arbor, MI] : ProQuest Information and Learning, [201-] System requirements: Adobe Acrobat Reader. Available via World Wide Web.
Abstract also in Chinese.

This thesis examines prehistoric land use patterns of the entire North Santiam subbasin, located on the western slopes of the Oregon Cascade Range. The objective of this analysis is three-fold: 1) to contribute to reconstructing the cultural chronology of the area; 2) to address the use of raw material by local hunter-gatherers and how raw material can be used to reconstruct the seasonal procurement ranges for these groups; and 3) to model the adaptive strategies of the prehistoric inhabitants of the North Santiam subbasin. The adaptive strategies of hunter-gatherer groups in the North Santiam subbasin are addressed by using the known ethnographic record, limited archaeological excavations, and the environmental and social data layers in Geographic Information Systems. ArcView Spatial Analyst was used to analyze the density and distribution of prehistoric sites and their association with major vegetation, huckleberry patches, non-forested communities, slope, aspect, streams, lithic sources, hot springs and trails within the subbasin. Five elevation zones are outlined corresponding to the site density pattern and the key predictive environmental and social variables. This study assumed that sites are not randomly distributed across the landscape; instead hunter-gatherer groups chose a particular location based on the natural environment. It is also assumed that many of the environmental variables have survived to modern time and are represented by the presently available data. Concurrent trace element analysis by X-ray fluorescence spectrometry and obsidian hydration analysis conducted on projectile points recovered from the surface and subsurface have provided evidence for early occupation in the subbasin; and revealed patterns in mobility, social interaction, and the use of raw material during the Archaic. The key predictive variables sustained a diversity of plant and animal resources that attracted human groups from both east and west of the Cascade Mountains over the past 10,000 years to seasonally hunt and procure a variety of important plant resources. The results of this study while descriptive in nature elucidates a pattern of land-use by hunter-gatherers, by providing key distributional data on prehistoric sites and their association to particular ecological zones within the North Santiam subbasin during the Archaic Period.
Graduation date: 2002

by Vera Hau Tsz Lai.
Thesis (M.Phil.)--Chinese University of Hong Kong, 1996.
Includes bibliographical references (leaves 227-236).
ABSTRACT --- p.i-ii
ACKNOWLEDGEMENTS --- p.iii-iv
TABLE OF CONTENTS --- p.v-ix
LIST OF FIGURES --- p.x
LIST OF PLATES --- p.xi-xiii
LIST OF TABLES --- p.xiv-xvi
Chapter CHAPTER I --- INTRODUCTION --- p.1
Chapter 1.1 --- Problem Statement --- p.1
Chapter 1.2 --- Role of GIS in Housing Price Study --- p.3
Chapter 1.3 --- Research Objectives --- p.4
Chapter 1.4 --- Significance --- p.5
Chapter 1.5 --- Methodologies --- p.6
Chapter 1.6 --- Organization of Thesis --- p.7
Chapter CHAPTER II --- LITERATURE REVIEW --- p.9
Chapter 2.1 --- Introduction --- p.9
Chapter 2.2 --- Geography of Housing --- p.10
Chapter 2.3 --- Housing as a Research Question --- p.11
Chapter 2.4 --- Housing Services and Housing Price --- p.12
Chapter 2.5 --- Property Price Valuation --- p.14
Chapter 2.6 --- Hedonic Price Function --- p.15
Chapter 2.6.1 --- Dependent Variable - Property Price --- p.16
Chapter 2.6.2 --- Independent Variables Affecting Housing Price --- p.17
Chapter 2.6.2.1 --- Aspatial Factors --- p.17
Chapter 2.6.2.2 --- Spatial Factors --- p.18
Chapter 2.6.2.3 --- Evaluation on Importance of Parameters --- p.26
Chapter 2.7 --- Functional Form of Hedonic Price Models --- p.33
Chapter 2.7.1 --- Conventional Specifications --- p.34
Chapter 2.7.2 --- Box-Cox Transformation --- p.34
Chapter 2.7.3 --- Conventional Specifications versus Box-Cox Transformation --- p.35
Chapter 2.8 --- Submarket Analysis and its Delineation --- p.36
Chapter 2.9 --- Geographic Information Systems --- p.39
Chapter 2.10 --- GIS in Real Estate --- p.39
Chapter 2.11 --- Present Adoption of GIS in Real Estate --- p.42
Chapter 2.11.1 --- Commercial Applications --- p.42
Chapter 2.11.2 --- Research-wise Applications --- p.43
Chapter 2.12 --- Hedonic Price Study with GIS --- p.43
Chapter 2.13 --- Conclusion --- p.45
Chapter CHAPTER III --- THE STUDY AREA AND RESEARCH METHODOLOGY --- p.47
Chapter 3.1 --- Introduction --- p.47
Chapter 3.2 --- Real Estate Sector in Hong Kong --- p.47
Chapter 3.2.1 --- Importance to Local Economy --- p.48
Chapter 3.2.2 --- Importance to Housing Production --- p.48
Chapter 3.3 --- Urban Development and Housing in Hong Kong --- p.51
Chapter 3.3.1 --- Land Availability and Landuses --- p.51
Chapter 3.3.2 --- Housing and Urban Development --- p.54
Chapter 3.3.2.1 --- Early Period of Industrialization --- p.54
Chapter 3.3.2.2 --- Phase of Economic Restructuring --- p.55
Chapter 3.3.3 --- Urban Renewal --- p.55
Chapter 3.3.4 --- Comprehensive Housing Projects --- p.56
Chapter 3.4 --- New Town Housing - Public or Private-Led --- p.57
Chapter 3.5 --- Hedonic Price of Private Dormitory in Hong Kong --- p.61
Chapter 3.5.1 --- Temporal Change in Property Price --- p.62
Chapter 3.5.2 --- Spatial Variation of Property Price --- p.66
Chapter 3.6 --- The Research --- p.68
Chapter 3.6.1 --- Cartographic Analysis --- p.68
Chapter 3.6.2 --- Hedonic Price Model --- p.69
Chapter 3.6.3 --- Dependent Variable --- p.69
Chapter 3.6.4 --- Independent Variables --- p.70
Chapter 3.6.5 --- Chosen Functional Form in this Research --- p.72
Chapter 3.6.6 --- Submarket Analysis in Hong Kong --- p.72
Chapter 3.7 --- Conclusion --- p.72
Chapter CHAPTER IV --- DATABASE CONSTRUCTIONS --- p.74
Chapter 4.1 --- Introduction --- p.74
Chapter 4.2 --- Data Collection --- p.74
Chapter 4.2.1 --- Base Maps --- p.75
Chapter 4.2.2 --- Housing Stock and its Attributes --- p.76
Chapter 4.2.3 --- Official Statistics --- p.76
Chapter 4.2.4 --- School Quality --- p.77
Chapter 4.3 --- Data Input --- p.78
Chapter 4.3.1 --- Graphical Input --- p.78
Chapter 4.3.1.1 --- Base Maps --- p.78
Chapter 4.3.1.2 --- Line Data --- p.78
Chapter 4.3.1.3 --- Point/Polygon Data --- p.79
Chapter 4.3.2 --- Attribute Data Input --- p.82
Chapter 4.4 --- Data Editing and Conversions --- p.82
Chapter 4.4.1 --- Graphical Input --- p.82
Chapter 4.4.1.1 --- Standard Coverage Editing Procedures --- p.82
Chapter 4.4.1.2 --- Specific Coverage Editing Procedures --- p.83
Chapter 4.4.2 --- Attribute Data --- p.84
Chapter 4.4.2.1 --- Housing Attributes --- p.84
Chapter 4.4.2.2 --- Landuse Mix --- p.88
Chapter 4.4.2.3 --- Socioeconomic Status --- p.91
Chapter 4.4.2.4 --- Employment Figures --- p.91
Chapter 4.5 --- Data Pre-processing and Manipulation --- p.93
Chapter 4.5.1 --- Employment Potentials --- p.93
Chapter 4.5.2 --- Socioeconomic Variables --- p.96
Chapter 4.5.2.1 --- Interpretation --- p.97
Chapter 4.5.3 --- School Quality --- p.107
Chapter 4.5.4 --- Proximity Measurements --- p.110
Chapter 4.5.5 --- Final Step of Association : Overlay Operations --- p.110
Chapter 4.6 --- Conclusion --- p.112
Chapter CHAPTER V --- CARTOGRAPHIC ANALYSIS --- p.114
Chapter 5.1 --- Introduction --- p.114
Chapter 5.2 --- Representation of Data --- p.114
Chapter 5.2.1 --- Location of Premises --- p.114
Chapter 5.2.2 --- Proximity --- p.118
Chapter 5.2.3 --- School Quality --- p.118
Chapter 5.2.4 --- Landuse Mix --- p.129
Chapter 5.2.5 --- Employment --- p.132
Chapter 5.2.6 --- Property Price --- p.137
Chapter 5.3 --- Results and Discussions --- p.137
Chapter 5.3.1 --- Temporal Variation on Housing Supply --- p.143
Chapter 5.3.2 --- Temporal Variation on Floor Size --- p.145
Chapter 5.3.3 --- Temporal Variation on Property Price --- p.148
Chapter 5.4 --- Locational Variations --- p.150
Chapter 5.4.1 --- Shift towards the New Towns --- p.150
Chapter 5.4.2 --- Relative Importance among Districts in New Towns --- p.154
Chapter 5.4.3 --- Pattern of Development --- p.158
Chapter 5.4.3.1 --- Urban Core --- p.158
Chapter 5.4.3.2 --- New Towns --- p.161
Chapter 5.5 --- Spatial Variations on Floor Size --- p.171
Chapter 5.6 --- Spatial Variations on Property Price --- p.176
Chapter 5.7 --- Conclusion --- p.181
Chapter CHAPTER VI --- STATISTICAL ANALYSIS --- p.183
Chapter 6.1 --- Introduction --- p.183
Chapter 6.2 --- The Data Set --- p.183
Chapter 6.3 --- Stepwise Regression Modeling --- p.184
Chapter 6.4 --- Correlation among Variables --- p.184
Chapter 6.5 --- Validation of the Models --- p.186
Chapter 6.6 --- Findings --- p.193
Chapter 6.6.1 --- Pooled Market Results --- p.193
Chapter 6.6.2 --- Submarket Level Analyses --- p.198
Chapter 6.6.2.1 --- "Small-Sized, Low-Priced Flats " --- p.200
Chapter 6.6.2.2 --- "Small-Sized, High-Priced Flats " --- p.203
Chapter 6.6.2.3 --- "Medium-Sized, Low-Priced Flats " --- p.206
Chapter 6.6.2.4 --- "Medium-Sized, High-Priced Flats " --- p.210
Chapter 6.6.2.5 --- "Large-Sized, High-Priced Flats " --- p.213
Chapter 6.7 --- Conclusion --- p.213
Chapter CHAPTER VII --- CONCLUSION --- p.217
Chapter 7.1 --- Summary of Findings --- p.217
Chapter 7.1.1 --- Summary on Housing Development in Hong Kong…… --- p.217
Chapter 7.1.2 --- Summary from Hedonic Price Models --- p.220
Chapter 7.1.3 --- Significance of GIS --- p.222
Chapter 7.2 --- Limitations and Recommendations --- p.222
Chapter 7.3 --- Direction of Future Research --- p.226
BIBLIOGRAPHY --- p.227
APPENDICES --- p.237
APPENDIX 1 --- p.238
District Map of Hong Kong --- p.239
APPENDIX II --- p.240
List of Districts and its Components --- p.241
APPENDIX III --- p.243
Tertiary Planning Units (TPUs) - District Conversion List --- p.244

Geospatial analysis involves application of statistical methods, algorithms and information retrieval techniques to geospatial data. It incorporates time into spatial databases and facilitates investigation of land cover (LC) dynamics through data, model, and analytics. LC dynamics induced by human and natural processes play a major role in global as well as regional scale patterns, which in turn influence weather and climate. Hence, understanding LC dynamics at the local / regional as well as at global levels is essential to evolve appropriate management strategies to mitigate the impacts of LC changes. This can be captured through the multi-resolution remote sensing (RS) data. However, with the advancements in sensor technologies, suitable algorithms and techniques are required for optimal integration of information from multi-resolution sensors which are cost effective while overcoming the possible data and methodological constraints. In this work, several per-pixel traditional and advanced classification techniques have been evaluated with the multi-resolution data along with the role of ancillary geographical data on the performance of classifiers. Techniques for linear and non-linear un-mixing, endmember variability and determination of spatial distribution of class components within a pixel have been applied and validated on multi-resolution data. Endmember estimation method is proposed and its performance is compared with manual, semi-automatic and fully automatic methods of endmember extraction. A novel technique - Hybrid Bayesian Classifier is developed for per pixel classification where the class prior probabilities are determined by un-mixing a low spatial-high spectral resolution multi-spectral data while posterior probabilities are determined from the training data obtained from ground, that are assigned to every pixel in a high spatial-low spectral resolution multi-spectral data in Bayesian classification. These techniques have been validated with multi-resolution data for various landscapes with varying altitudes. As a case study, spatial metrics and cellular automata based models applied for rapidly urbanising landscape with moderate altitude has been carried out.

Indiana University-Purdue University Indianapolis (IUPUI)
The primary objective of this research involves mapping out and validating the existence of sub surface drainage tiles in a given cropland using Remote Sensing and GIS methodologies. The process is dependent on soil edge differentiation found in lighter versus darker IR reflectance values from tiled vs. untiled soils patches. Data is collected from various sources and a primary classifier is created using secondary field variables such as soil type, topography and land Use and land cover (LULC). The classifier mask reduces computational time and allows application of various filtering algorithms for detection of edges. The filtered image allows an efficient feature recognition platform allowing the tile drains to be better identified. User defined methods and natural vision based methodologies are also developed or adopted as novel techniques for edge detection. The generated results are validated with field data sets which were established using Ground Penetration Radar (GPR) studies. Overlay efficiency is calculated for each methodology along with omission and commission errors. This comparison yields adaptable and efficient edge detection techniques which can be used for similar areas allowing further development of the tile detection process.

This study explores the utilisation of spatial technologies as a tool to analyse and combat crime. The study deals specifically with remote sensing and its potential for being integrated with geographical information systems (GIS). The integrated spatial approach resulted in the understanding of land use class behaviour over time and its relationship to specific crime incidents per police precinct area. The incorporation of spatial technologies to test criminological theories in practice, such as the ecological theories of criminology, provides the science with strategic value. It proves the value of combining multi-disciplinary scientific fields to create a more advanced platform to understand land use behaviour and its relationship to crime. Crime in South Africa is a serious concern and it impacts negatively on so many lives. The fear of crime, the loss of life, the socio-economic impact of crime, etc. create the impression that the battle against crime has been lost. The limited knowledge base within the law enforcement agencies, limited logistical resources and low retention rate of critical staff all contribute to making the reduction of crime more difficult to achieve. A practical procedure of using remote sensing technology integrated with geographical information systems (GIS), overlaid with geo-coded crime data to provide a spatial technological basis to analyse and combat crime, is illustrated by a practical study of the Tshwane municipality area. The methodology applied in this study required multi-skilled resources incorporating GIS and the understanding of crime to integrate the diverse scientific fields into a consolidated process that can contribute to the combating of crime in general. The existence of informal settlement areas in South Africa stresses the socio-economic problems that need to be addressed as there is a clear correlation of land use data with serious crime incidents in these areas. The fact that no formal cadastre exists for these areas, combined with a great diversity in densification and growth of the periphery, makes analysis very difficult without remote sensing imagery. Revisits over time to assess changes in these areas in order to adapt policing strategies will create an improved information layer for responding to crime. Final computerised maps generated from remote sensing and GIS layers are not the only information that can be used to prevent and combat crime. An important recipe for ultimately successfully managing and controlling crime in South Africa is to strategically combine training of the law enforcement agencies in the use of spatial information with police science. The researcher concludes with the hope that this study will contribute to the improved utilisation of spatial technology to analyse and combat crime in South Africa. The ultimate vision is the expansion of the science of criminology by adding an advanced spatial technology module to its curriculum.
Criminology
D.Litt. et Phil. (Criminology)