A significant increase in campus-based emergencies warrants the investigation into emergency management information systems that serve a novice crisis decision-maker. Institutions of higher education that are not large enough to have dedicated emergency management offices generally press novice decision-makers into emergency management roles. An investigation was conducted to assess the impact of an emergency management geospatial information system on the decision performance of novice crisis managers through the use of a scenario-based simulation. A mixed method sequential explanatory method was used to collect quasi-experimental data on decision time, decision accuracy and situational awareness. Qualitative analysis was conducted through interviews with participants. Statistical results indicate the decision accuracy is positively affected by the use of an emergency management geospatial information system. Data Envelopment Analysis (DEA) is non-parametric linear programming method used to identify decision-making units in a data set that are optimal in their use of single or a set of resources (inputs) in delivering a set of expected results (outputs). DEA indicated that efficiency ratios from the geospatial information system group outperform the traditional group. Geospatial information systems hold much promise in providing systems that are easy to use, promote heightened levels of situational awareness and decision support.

Nationell infrastruktur för geografiska data (NSDI) har blivit en viktig pusselbit för varje nation när det gäller socio-ekonomisk utveckling och miljöförvaltning. Den nyligen antagna lagen The Lands Rights Act (2018) och inrättandet av Liberia Land Authority (LLA) visar att Liberia står på randen till en seriös utveckling och visar vägen genom att inrätta ett välfungerande system för markförvaltning och en pålitlig markförvaltning. Infrastruktur för geografiska data (SDI) är viktigt för att hantera och möjliggöra utbyte, delning, tillgänglighet och användning av rumsliga data. FN:s expertkommitté för global hantering av geospatial information (UN-GGIM) och Världsbanken har utvecklat Integrated Geospatial Information Framework (IGIF) för att främja hållbar utveckling och tillhandahålla riktlinjer för nationer att följa när de utvecklar en robust NSDI. Syftet med denna studie är att bedöma Liberia´s NSDI från ett data och standardperspektiv för att identifiera landets svagheter och styrkor inom detta område. Den kommer också att belysa de utmaningar och möjligheter som Liberia står inför när landet utvecklar sitt NSDI. Data samlades in genom en litteraturgenomgång och frågeformulär som fylldes i med NSDI-intressenter vid flera statliga organisationer och en internationell organisation i Liberia. Resultaten visade att Liberia´s NSDI för närvarande är underutvecklat. NSDI anses vara svagt ur ett data och standardperspektiv. Dataperspektivet anses dock vara mer gediget. En generell lägesbedömning som täcker alla nio aspekter av ett NSDI var också genomförd, detta i syfte att sätta de två specifika perspektiven i kontext. Bristen på nationella standarder, institutionell samordning och en rättslig ram för hantering av geografiska data är de främsta problemen och utmaningarna. LLA bör ta ledning i utvecklingen av Liberia´s NSDI. I studien föreslås också att Liberia bland annat ska bilda en kommitté för geografiska data för att få alla relevanta intressenter involverade och engagerade i den kommande NSDI-utvecklingen. / National Spatial Data Infrastructure (NSDI) has become an important piece of the puzzle for every nation when it comes to socio-economic development and environmental stewardship. The recently passed The Land Rights Act (2018) and the establishment of the Liberia Land Authority (LLA) indicates that Liberia is on the verge of serious development, paving the way by establishing a well-functioning land administration system and trusted land governance. Spatial data infrastructure is important in order to manage and enable the exchange, sharing, accessibility and use of spatial data. United Nations Committee of Experts on Global Geospatial Information Management (UN-GGIM) and the World Bank has developed the Integrated Geospatial Information Framework (IGIF) to promote sustainable development and provide guidelines for nations to follow when developing a robust NSDI. The objectives of this paper is to assess Liberia's NSDI from a data and standards perspective to identify its weaknesses and strengths within that area. It will also shed light on the challenges and opportunities that Liberia faces as it develops its NSDI. The data was collected through a literature review and questionnaires were completed by NSDI stakeholders from multiple governmental organizations and one international organization in Liberia. The findings revealed that Liberia's NSDI is currently underdeveloped. The NSDI is considered weak from a data and standards perspective. However, the data perspective is considered as more solid. A general baseline assessment covering all aspects of an NSDI was also carried out to set the two specific perspectives into context. Overall, weak national standards, institutional coordination, and legal framework for handling spatial data are the primary concerns and challenges. LLA is suggested to take the lead in the development of Liberia´s NSDI. The study also suggests that Liberia form a spatial data committee in order to have all relevant stakeholders onboard and committed for the NSDI development at hand.

We have developed a new approach to annotate the uncertainty information of geospatial data. This framework is composed of a geospatial platform and the data with uncertainty. The framework supports geospatial sources such as Geography Markup Language (GML) with uncertainty information. The purpose of this framework is to integrate the uncertainty information of data from the application users and thereby ease the development of processing uncertainty information of geospatial data. Having well organized data and using this framework, the end-users can store the uncertainty information on the current geospatial data structure. For example, a GIS user can share the error information for environmental and geospatial data to others. We have also reported the enhanced geographic information system function.

京都大学 / 0048 / 新制・課程博士 / 博士(地域研究) / 甲第22562号 / 地博第265号 / 新制||地||100(附属図書館) / 京都大学大学院アジア・アフリカ地域研究研究科東南アジア地域研究専攻 / (主査)教授 岡本 正明, 准教授 甲山 治, 准教授 柳澤 雅之, 教授 水野 広祐 / 学位規則第4条第1項該当 / Doctor of Area Studies / Kyoto University / DGAM

This research assesses shifts in tornado occurrence pattens in space and time employing continental United States tornado records with an Enhanced Fujita (EF) rating equal or greater than 1. In similar research, most researchers discard tornado records prior to 1980 due to factors including: magnitude anomalies related to development of the Fujita Scale, unpredictability in tornado reporting (escalating populace, storm spotters, and technologic improvements), and better data records from the Census Bureau. We therefore constructed two datasets using tornados recorded in the National Weather Service Storm Prediction Center’s Severe Weather GIS (SVRGIS) database: 1950-2019 (dataset 1) and 1980-2019 (dataset 2). The goals for this study were to 1) determine whether spatiotemporal patterns of recorded tornado activity have shifted over time, and 2) determine whether inclusion of pre-1980 tornado data changes the findings from 1). This study employed Space-Time Pattern Mining (STPM) to construct four spacetime cubes (STC) in ArcGIS Pro. Emerging Hot Spot Analysis (EHS) was employed to identify the changes in tornado occurrence (number of incidents in a STC cell) and magnitude (sum of tornado EF ratings for all incidents in a STC cell). EHS displayed increased tornado activity in the Southeast and decreased activity for areas in the Great Plains for both occurrence and magnitude in both datasets. This is interpreted as significant intensifying hot spots in the Southeast region and diminishing hot spots in the Great Plains indicating an east-south-east shift for both datasets. Similar findings for both datasets indicate that inclusion of the less reliable pre-1980’s tornado data does not change the results and we recommend that the practice of discarding pre-1980’s tornado data in tornado occurrence research be reconsidered.

<div> <div> <p>Due to the large volumes of spatial data, data is stored on clusters of machines that inter-communicate to achieve a task. In such distributed environment; communicating intermediate results among computing nodes dominates execution time. Communication overhead is even more dominant if processing is in memory. Moreover, the way spatial data is partitioned affects overall processing cost. Various partitioning strategies influence the size of the intermediate results. Spatial data poses the following additional challenges: 1)Storage load balancing because of the skewed distribution of spatial data over the underlying space, 2)Query load imbalance due to skewed query workload and query hotspots over both time and space, and 3)Lack of effective utilization of the computing resources. We introduce a new kNN query evaluation technique, termed BCDB, for evaluating nearest-neighbor queries (NN-queries, for short). In contrast to clustered partitioning of spatial data, BCDB explores the use of declustered partitioning of data to address data and query skew. BCDB uses summaries of the underling data and a coarse-grained index to localize processing of the NN-query on each local node as much as possible. The coarse-grained index is locally traversed using a new uncertain version of classical distance browsing resulting in minimal O( √k) elements to be communicated across all processing nodes.</p> </div> </div>

This presented work deals with crowdsourcing tools for mapping and filtering of data that are created by the Ushahidi, Inc. and ways of their use. Ushahidi and SwiftRiver platforms and hosted version of Ushahidi called Crowdmap are counted among the tools for crisis mapping; however, more and more they are also used for other topics or issues. The aim of this work is to subject to a critical point of view not only the Ushahidi platform as a tool, but also a number of significant or interesting projects in which it was used. Presented is also the recommendation, how to use Ushahidi to create a successful project and the other way round what to avoid, when you work with Ushahidi. The basic building elements of Ushahidi are crowdsourcing, citizen journalism, geospatial information, and in particular the work of volunteers. This work describes the role of these building elements in Ushahidi, and subjects to critical reflection also the problematic sides, which Ushahidi is struggling with. Following is the analysis of selected sample of Ushahidi and Crowdmap deployments, which deals with the thematic, geographical and time stratification of the maps in the sample. Some significant uses of Ushahidi with humanitarian and non-humanitarian purpose of the deployment are examined in the end.

Due to the advances in location-acquisition techniques, citizen geospatial data has emerged with opportunity for research, development, innovation, and business. A variety of research has been developed to study society and citizens through exploring patterns from geospatial data. In this thesis, we investigate patterns of population and human sentiments using GPS trajectory data and geo-tagged tweets. Kernel density estimation and emerging hot spot analysis are first used to demonstrate population distribution across space and time. Then a flow extraction model is proposed based on density difference for human movement detection and visualization. Case studies with volleyball game in West Lafayette and traffics in Puerto Rico verify the effectiveness of this method. Flow maps are capable of tracking clustering behaviors and direction maps drawn upon the orientation of vectors can precisely identify location of events. This thesis also analyzes patterns of human sentiments. Polarity of tweets is represented by a numeric value based on linguistics rules. Sentiments of four US college cities are analyzed according to its distribution on citizen, time, and space. The research result suggests that social media can be used to understand patterns of public sentiment and well-being.

This study proposes an approach for land degradation assessment for an abandoned coal mine by using geospatial information technologies. The land degradation assessment focuses on two major changes: topographical and Land Use and Land Cover (LULC). For this purpose, stereo aerial photos, Worldview-1, Landsat and ASTER images, Terrestrial Laser Scanning (TLS) data, Global Positioning System (GPS) data, and ancillary maps were used for abandoned Ovacik surface coal mine. Volume of excavations and fillings, drainage network deviations, and slope instabilities were the investigated topographical disturbances by comparison of the Digital Elevation Models (DEM) for pre- and post-mining stages. Using aerial photos and Worldview-1 satellite image, LULC maps were prepared based on the same time period. Then areal extent and spatial pattern of the LULC change was calculated and mapped by post classification comparison method. The results of land degradation assessment show that there was a significant topographical disturbance and LULC change in the research area. Particularly, three dump areas with a total volume of 2,334,878 m3 were identified by DEM subtraction. It was found that stream network around the primary dump site shifted towards south with a maximum displacement of 60m. Slope analysis reveals that slopes higher that 60 degrees were mainly observed in excavation area with 81 percent. LULC change study showed that the forest area decreased an amount of 106,485 m2 from 1951 to 2008. However / by means of the forestation efforts in dump sites, an amount of 106,012 m2 forest land was recovered.

When comparing numerous educational advantages of Geographic Information Systems (GIS) with the slow integration of GIS practice within education globally, results are confounding. This paradoxical development is also found within South Africa. In fact, GIS has been included in the Further Education and Training (FET) phase by the Department of Basic Education (DoBE) since 2006. However, following the same global trend, curriculum development in South Africa has outpaced educational GIS software research. In addition, the e-learning White paper of SA also urges software development. Barriers hindering GIS practice include the lack of suitable curriculum-aligned GIS software within the South African digital divide context. A need therefore exists for further research regarding educational GIS practice applications within South Africa. Bearing this in mind, a case study was done investigating the viability of an educationally orientated Interactive-GIS-Tutor (I-GIS-T) application within FET phase in Geography. The study was conducted with the grade 11 Geography learners of a secondary school in a rural area of KwaZulu-Natal, as well as with their Geography teacher and two other Geography teachers of the same school. These three teachers have different ICT/GIS abilities and years of teaching experience. Furthermore, the study aimed to identify the main GIS educational barriers, globally and locally, as well as to investigate the viability of the I-GIS-T in relation to these identified barriers. The strategy followed was a case study evaluation, with a qualitative approach to data collection and analysis, supported by quantitative data, since this was most suited to the research questions and context. Pragmatism was therefore the underpinning philosophy within this case study. One-on-one semi-structured teacher interviews were conducted to identify the main barriers of GIS education within the FET phases. Data collection by means of questionnaires, individual interviews, focus group interviews, video recordings and field notes provided a thick description regarding the viability of the I-GIS-T within the natural class setting. ATLAS.tiTM and SPSS software were utilised with analysis of qualitative and supportive quantitative data. Attitudinal tests provided supportive quantitative data. Findings indicated that main GIS practice barriers, globally as well as in the school of study, were the lack of preparation time, a full curriculum, lack of GIS support, complex educational GIS software and the teacher‟s lack of ICT skills. The grade 11 Geography teacher and most of the learners evaluated the I-GIS-T as workable. The I-GIS-T also surmounted the main GIS practice barriers. Furthermore, GIS attitudinal tests revealed an overall positive shift on all the attitudinal questions. The combination of lack of basic computer skills and language (where English is not the mother tongue) were the main reasons why some learners suggested that they struggled with the software. Future I-GIS-T development recommended incorporation of a multi-language choice component, as well as exploratory activities. Within this case study, learners who have mastered basic computer skills found the I-GIS-T effective and workable and therefore a viable GIS software application option within the FET phase Geography. In order to be able to generalise statistically, further quantitative research is suggested. In fact, future quantitative research, employing SEM (Structural Equation Modeling) within the Technology Acceptance Model (TAM) might prove the I-GIS-T to be a viable option within FET schools throughout SA, as well as in other developing countries. / Thesis (MEd (Curriculum Development))--North-West University, Potchefstroom Campus, 2013