Relevant bibliographies by topics / GIS (Geographic Information System)

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'GIS (Geographic Information System)'

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Published: 4 June 2021
Last updated: 7 July 2024

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Journal articles on the topic "GIS (Geographic Information System)"

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Srikanth, Dr Geetha. "Geographic Information System (GIS) in Public Health." JOURNAL OF CLINICAL AND BIOMEDICAL SCIENCES 06, no. 1 (March 15, 2016): 1–2. http://dx.doi.org/10.58739/jcbs/v06i1.7.

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Remote sensing and geographic information system (GIS) are a potential enabling technolo-gy used in public health. With the precise geo-graphic location of the incident these technolo-gies are potentially useful for infectious dis-ease surveillance and control of vector borne diseases. GIS is a computer system for captur-ing and displaying data related to positions on earth’s surface. Since many different kinds of data are shown on a map one can analyze their patterns and relationships
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DJAMALUDDIN, IBRAHIM, POPPY INDRAYANI, YASUHIRO MITANI, SHUICHIRO TAGANE, and TETSUKAZU YAHARA. "GEOGRAPHIC INFORMATION SYSTEM (GIS) WEB SERVER FOR BIODIVERSITY INFORMATION SYSTEM." REINWARDTIA 14, no. 2 (January 4, 2016): 249. http://dx.doi.org/10.14203/reinwardtia.v14i2.1668.

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DJAMALUDDIN, I., INDRAYANI, P., MITANI, Y., TAGANE, S. & YAHARA, T. 2015. Geographic Information System (GIS) web server for biodiversity information system. Reinwardtia 14 (2): 249 - 258. - Ecological protection strategies, designed by sharing information and integrating data, play an important role in defining interconnections and interdependencies in research as well as in increasing global awareness. The Geographic Information System (GIS) web server is one technology solution to improve the interoperability and sharing between the biodiversity databases of an organization and the databases of other research groups. In this paper, a database system integration framework based on GIS technology and a GIS server system using the latest cloud-based technology have been developed to incorporate biodiversity databases in Asian region. A GIS server is a GIS web platform integrating multiple geodatabases and provides data display and query, allowing users to apply internet browsers to manipulate the functions and query the data, etc. To demonstrate the effectiveness of a GIS web server, plant biodiversity survey dataset of Mt. Gede Pangrango, West Java in Indonesia, was given as a case study for development and utilization of biodiversity information system in Asian region.
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KIRIMURA, Takashi. "Yano, K.: GIS: Geographic Information System." Geographical review of Japan series A 95, no. 3 (May 1, 2022): 227–28. http://dx.doi.org/10.4157/grj.95.227.

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Usmani, Raja Sher Afgun, Ibrahim Abaker Targio Hashem, Thulasyammal Ramiah Pillai, Anum Saeed, and Akibu Mahmoud Abdullahi. "Geographic Information System and Big Spatial Data." International Journal of Enterprise Information Systems 16, no. 4 (October 2020): 101–45. http://dx.doi.org/10.4018/ijeis.2020100106.

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Geographic information system (GIS) is designed to generate maps, manage spatial datasets, perform sophisticated “what if” spatial analyses, visualize multiple spatial datasets simultaneously, and solve location-based queries. The impact of big data is in every industry, including the GIS. The location-based big data also known as big spatial data has significant implications as it forces the industry to contemplate how to acquire and leverage spatial information. In this study, a comprehensive taxonomy is created to provide a better understanding of the uses of GIS and big spatial data. The taxonomy is made up of big data technologies, GIS data sources, tools, analytics, and applications. The authors look into the importance of big spatial data and its implications, review the data sources, and GIS analytics, applications, and GIS tools. Furthermore, in order to guide researchers interested in GIS, the challenges that require substantial research efforts are taken into account. Lastly, open issues in GIS that require further observation are summarized.
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Dada, Maria. "Queering Geographic Information information Systems." A Peer-Reviewed Journal About 8, no. 1 (August 15, 2019): 58–68. http://dx.doi.org/10.7146/aprja.v8i1.115415.

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What’s the relationship between GIS and the political subject? In an effort to address this question, this paper traces the movement from the map to GIS. The map is shown to be the performative utterance of the state, one that supports its national discourse and narrative. GIS, on the other hand, is shown to be a device of neoliberal governmentality, its non-representational economic practices, divided discourse and subjectivities. Despite the seemingly hopeless situation surrounding GIS, however, certain simulation and modelling practices are attempting to construct subjectivities out of economic neoliberalism’s fractured narratives. They do this by reading meaning into otherwise mathematical datasets and models. These practices could form a basis for queering GIS.
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Zhang, Yan, Larry Hoover, and Jihong (Solomon) Zhao. "Geographic Information System Effects on Policing Efficacy." International Journal of Applied Geospatial Research 5, no. 2 (April 2014): 30–43. http://dx.doi.org/10.4018/ijagr.2014040103.

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GIS technology is credited with substantially improving police crime analysis and related resource allocation. Although GIS has been said to be an efficient and effective technology in policing, limited empirical assessment has been conducted. An examination of functions and a review of the literature suggests four major applications of GIS in policing: computerized crime mapping/crime analysis; “hot spots” identification; improving command-level decision making; and geographical investigative analysis (primarily offender profiling). The primary objective of this qualitative review is to identify the extent of empirical evaluations of the effectiveness of a GIS. Although there is some research reference offender profiling, results are mixed. Only two empirical evaluations have been published that examine crime mapping, and both are limited to effects on perceptions. No empirical work links GIS to police deployment effectiveness.
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Tompkins, Paige L., and Linda H. Southward. "Geographic Information Systems (GIS)." Computers in Human Services 15, no. 2-3 (January 12, 1999): 209–26. http://dx.doi.org/10.1300/j407v15n02_16.

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Fan, Yong-wen, Wei-jun Zhu, and Shao-huan Ban. "Mimic Geographic Information System." E3S Web of Conferences 78 (2019): 03005. http://dx.doi.org/10.1051/e3sconf/20197803005.

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With the development of the Internet, the geographic information system gets a chance to develop rapidly. Aiming at the security problems of existing geographic information systems, a Mimic Geographic Information System, i.e. M-GIS, based on mimic defense is proposed to improve the security of geographic information systems. The system consists of heterogeneous redundancy geographic information execution bodies pool, request distributor, scheduler and arbiter. Firstly, the scheduler dynamically selects the geographic information execution bodies set for processing, and then makes a mimic decision on the processing results. The experimental results show that the mimic system is more security than traditional system.
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Yasmin, Shahina, Archana Krishna Murth, and Shilpashree KB. "Geographic Information System (GIS) and Healthcare: An Overview." International Journal of Research and Review 10, no. 2 (February 11, 2023): 286–94. http://dx.doi.org/10.52403/ijrr.20230236.

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GIS (Geographic Information System) are computer-based tools used to visualize, analyze, accumulate and explicate geographic data. The determinants of health status are often correlated and analogous. Establishing GIS-based approaches and programmes can predict and analyze the complexity of web of causation of many health issues. GIS can be used to efficaciously investigate health along with its physical, social and cultural environments. Mapping functions of GIS can be used to plot health attributes for better visualization, exploration, and modeling of health patterns. GIS based healthcare helps in explaining and describing health outcomes, health disparities, healthcare access and how health care delivery can be improved. GIS can also be used to bring all spatial data under one umbrella of “Geo Data Bank” that could provide easy accessibility and help in better utility of healthcare services. In India, the adoption and use of digital spatial methods like GIS in the field of healthcare has lagged. However, the “Computer Aided Utility Mapping Project for six cities” in India is a significant benefit for the GIS users in the country which can be used by healthcare sector in the near future for the upliftment of healthcare facility. The primary focus of the paper is to provide details about benefits of using GIS-based analytical approaches in healthcare planning, the successes, challenges, remedies and future perspective of GIS in healthcare delivery. Keywords: GIS, healthcare planning, location allocation modeling, public health, spatial analysis, spatial epidemiology.
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Pramuditha Shinta Dewi Puspitasari, Arvita Agus Kurniasari, and Trismayanti Dwi Puspitasari. "Geographic Information System Mapping of Plantation." Journal of Applied Science, Engineering, Technology, and Education 4, no. 2 (October 27, 2022): 210–22. http://dx.doi.org/10.35877/454ri.asci1162.

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Perusahaan Daerah Perkebunan (PDP) Kahyangan is a Regional Owned Enterprise in Jember Regency which was formed to realize the prosperity of the community. In Regional Regulation Number 2 of 2012-chapter 3 clauses 2, the government can manage regional finances by exploring sources of Regional Original Income, one of which is from the PDP. In addition, the purpose of the establishment of the PDP is as a means of developing the economy in the context of regional development by increasing productivity from all aspects to increase regional income. The main commodities are coffee and rubber, cloves, Mahoni, and Sengon wood are supporting commodities. Based on interviews PDP's profit contribution to Jember's income has continued to decline in recent years due to the absence of good management of its potential. So, this research will manage a system that can assist in obtaining information about the distribution of plantation land commodities in Jember, as well as mapping existing commodities by Geographic Information System (GIS). The method for developing GIS uses a Design Sprint. The output of this method prototypes and will implement in the GIS application.
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Dissertations / Theses on the topic "GIS (Geographic Information System)"

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Finniear, Lee John. "An intelligent Geographic Information System for design." Thesis, Loughborough University, 1991. https://dspace.lboro.ac.uk/2134/32546.

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Recent advances in geographic information systems (GIS) and artificial intelligence (AI) techniques have been summarised, concentrating on the theoretical aspects of their construction and use. Existing projects combining AI and GIS have also been discussed, with attention paid to the interfacing methods used and problems uncovered by the approaches. AI and GIS have been combined in this research to create an intelligent GIS for design. This has been applied to off-shore pipeline route design. The system was tested using data from a real pipeline design project.
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Wilde, Bryn. "A geographic information system approach to distributed hydrological modelling." Thesis, Cardiff University, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.327722.

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Dos-Santos, Sasha. "A geographic information system for dynamic ridematching." [Tampa, Fla.] : University of South Florida, 2005. http://purl.fcla.edu/fcla/etd/SFE0001046.

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Bengtsson, Jonas, and Mikael Grönkvist. "Performing Geographic Information System Analyses on Building Information Management Models." Thesis, KTH, Geodesi och satellitpositionering, 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208922.

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As the usage of both BIM (Building Information Modelling) and 3D-GIS (Three-Dimensional Geographic Information Systems) has increased within the field of urban development and construction, so has the interest in connecting these two tools.  One possibility of integration is the potential of visualising BIM models together with other spatial data in 3D. Another is to be able to perform spatial 3D analyses on the models. Both of these can be achieved through use of GIS software. This study explores how integration of BIM and GIS could look. The goal was to perform typical GIS analyses in 3D on BIM models. Previous research points towards some success within the field through use of the indicated standard format for each tool – IFC (Industry Foundation Classes) for BIM and CityGML (City Geographic Markup Language) for GIS. Transformation between the formats took place through use of the BIM software Revit, the transformation tool FME and the GIS software ArcGIS. A couple of reviewed applications of GIS analyses were chosen for testing on the converted models – indoor network analysis, visibility analysis and spatial analysis for 3D buildings. The input data in the study was several BIM models, both models created for real-life usage and others that only function as sample data within the different software. From the results of the practical work it can be concluded that a simple, automated and full-scale integration does not seem to be within reach quite yet. Most transformations between IFC and CityGML failed to some extent, especially the more detailed and complex ones. In some test cases, the file could not be imported into ArcGIS and in others geometries were missing or existing even though they should not. There were also examples where geometries had been moved during the process. As a consequence of these problems, most analyses failed or did not give meaningful results. A few of the original analyses did give positive results. Combining (flawed) CityGML models with other spatial data for visualisation purposes worked rather well. Both the shadow volume and sightline analyses did also get reasonable results which indicates that there might be a future for those applications. The obstacles for a full-scale integration identified during the work were divided into four different categories. The first is BIM usage and routines where created models need to be of high quality if the final results are to be correct. The second are problems concerning the level of detail, especially the lack of common definitions for the amount of details and information. The third category concerns the connection between local and global coordinate systems where a solution in form of updates to IFC might already be in place. The fourth, and largest, category contains those surrounding the different formats and software used. Here, focus should lie on the transformation between IFC and CityGML. There are plenty of possible, future, work concerning these different problems. There is also potential in developing own tools for integration or performing different analyses than those chosen for this thesis.
I takt med den ökade användningen av både BIM och 3D-GIS inom samhällsbyggnadsprocessen har även intresset för att sammanföra de två verktygen blivit större. En möjlighet med integration är potentialen att visualisera BIM-modeller tillsammans med andra geografiska data i 3D. En annan är att kunna genomföra rumsliga 3D-analyser på modellerna. Båda dessa går att utföra med hjälp av GIS-programvara. Denna studie utforskar hur en integration mellan BIM och GIS kan se ut. Målet är att genomföra typiska GIS-analyser i 3D på BIM-modeller. Tidigare forskning pekar mot vissa framgångar inom området genom att arbeta med det utpekade standardformatet för respektive verktyg – IFC för BIM och CityGML för GIS. Transformation mellan formaten skedde med hjälp av programvarorna Revit, FME och ArcGIS. Ett par framhållna tillämpningar av GIS-analyser valdes ut för tester på de konverterade modellerna – nätverksanalyser inomhus, siktanalyser och rumsliga analyser för 3D-byggnader. Som indata användes flera olika BIM-modeller, både sådana som tillverkats för faktisk användning och modeller som skapats för att användas som exempeldata inom programvarorna. Utifrån resultaten från det praktiska arbetet kan konstateras att en enkel, automatiserad och fullskalig integration mellan verktygen verkar ligga en bit in i framtiden. De flesta transformationerna mellan IFC och CityGML misslyckades i någon aspekt, speciellt de mer detaljerade och komplexa. I vissa testfall kunde filen inte importeras i ArcGIS, i andra saknas eller existerar oväntade geometrier även om importen lyckats. Det finns också exempel där geometrier förflyttats. Som en konsekvens av dessa problem kunde de flesta 3D-analyser inte genomföras alls eller lyckades inte ge betydelsefulla resultat. Ett fåtal av de ursprungliga analyserna gav dock positiv utdelning. Att kombinera (felaktiga) CityGML-modeller med annan rumslig data fungerade förhållandevis väl ur ett visualiseringssyfte. Både skuggvolymsanalysen och framtagandet av siktlinjer från byggnaderna gav någorlunda korrekta resultat vilket indikerar att det kan finnas en framtid gällande de tillämpningarna. Hindren för en fullskalig integration som identifierades genom arbetet delades upp i fyra olika kategorier. Den första är BIM-användning där hög kvalitet på de skapade modellerna är viktigt för korrekta slutresultat. Den andra är detaljeringsgraden där avsaknaden av gemensamma definitioner för detaljeringsgraderna ställer till problem. Den tredje kategorin är koordinat- och referenssystem där en lösning på kopplingen mellan lokala och globala system redan kan finnas på plats i en av de senare utgåvorna av IFC-formatet. Den sista och största kategorin är problematiken kring just format och programvaror där mer arbete på översättningen mellan IFC och CityGML kommer att krävas. I framtiden finns det gott om arbete att göra med dessa olika problem. Det finns också potential att utveckla egna verktyg för integrationen eller att ägna sig åt att göra andra analyser än de som valdes ut i den här studien.
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Sasikala, K. R. "Fuzzy reasoning with geographic information system : an aid to decision-making." Thesis, University of Surrey, 1997. http://epubs.surrey.ac.uk/1002/.

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Villeneuve, Julie. "Delineating wetlands using geographic information system and remote sensing technologies." Texas A&M University, 2005. http://hdl.handle.net/1969.1/3135.

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During the last century wetlands have considerably decreased. The principal cause is urbanization, especially in large urban regions such as the Houston area. In order to protect the remaining wetlands, they have to be monitored carefully. However monitoring wetland is a difficult and time-demanding task because it has to be done repetitively on large areas to be effective. This study was conducted to determine if Geographical Information System (GIS) and remote sensing technologies would allow accurate monitoring of wetland as a less time-consuming method. With this idea, a suitability model was developed to delineate wetlands in the Houston area. This model combined GIS and remote sensing technologies. The data used for this study were as high spatial resolution as possible and were generally easy to obtain. This suitability model consisted of four submodels: hydrology, soil, vegetation and multi- attribute. Each submodel generated a Wetland Suitability Index (WSI). Those WSI were summed to obtain a general WSI. The suitability model was calibrated using half of the study area. During calibration, the general model was evaluated as well as each individual index. Generally, the model showed a lack of sensitivity to changes. However, the model was slightly modified to improve the delineation of upland wet- lands by increasing the weight of the soil submodel. This model was validated using the second half of the study area. The validation results improved a bit compared to the calibration results; however they remained weak. It was demonstrated that the model does not favor riverine wetlands over upland wetlands, nor large size wetlands. The model ground truth data were evaluated and were suffciently proven to be up to date. Those results indicated that the weakness of the model must come from inac- curacy in the input data. Therefore, the study showed that while existing computing capacity supports remote delineation, spatial accuracy is still insuffcient to perform correct wetland delineation using remote sensing and GIS technologies.
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San, Martin Roberto. "Information management in disaster and development : geographic information systems." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/6218.

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Mestrado em Desenvolvimento e Cooperação Internacional
This research considers the theoretical and practical link between long-term sustainable development and disaster management. The aim is to develop a theoretical framework and a methodology which allows the use of Geographic Information Systems (GIS) to manage the related information. Literature review leads us to understand development and disaster management as part of a learning cycle. Within this context, a common approach to information management is suggested to support the decision-making process in a cost-effective manner. A “universal” GIS is proposed to integrate information management for development and disaster while exploring the interactions between projects and project and the related geography which is considered a complex reality full of synergies between space, ecosystem, society, culture and economy. Study of academic production, practical implementations, interviews and a limited GIS application (using ArcMap and QGis) are used to endorse the capabilities of this concept. These capabilities are limited by lack of free information and cost of data gathering, interoperability and other technical issues. Open-source and crowdsourcing may solve some limitations while others need further research.
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Corner, Robert J. "Knowledge representation in geographic information systems." Thesis, Curtin University, 1999. http://hdl.handle.net/20.500.11937/928.

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In order to satisfy increasing demand for better, smarter, more flexible land resource information an alternative form of representation is proposed. That representation is to be achieved through the coupling of Expert System methods and Geographic Information Systems. Instead of representing resource information using entities such as soil types, defined by rigid boundaries on a map, a more fluid presentation is proposed. Individual resource attributes will be represented by surfaces that describe their probability of occurrence, at a number of levels, across a landscape. Such flexible representations, which are designed to better capture the mental models behind their creation, are capable of being combined and synthesised to answer a wide range of resource queries.An investigation of methods of knowledge representation in a number of fields of research, led to the belief that a Bayesian Network provides a representational calculus that is appropriate to the "fuzzy" and imprecise conceptual models used in resource assessment. The fundamental mathematical principles of such networks have been tailored to provide a representation that is in tune with the intuitive processes of a surveyor's thinking.Software has been written to demonstrate the method and tested on a variety of data sets from Australia and overseas. These tests and demonstrations have used a range of densities of knowledge and range of acuity in evidential data. In general the results accord with the mental models used as drivers. A number of operational facets of the method have been highlighted during these demonstrations and attention has been given to a discussion of them.
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Basnet, Badri Bahadur. "Geographic Information System based manure application planning." University of Southern Queensland, Faculty of Engineering and Surveying, 2002. http://eprints.usq.edu.au/archive/00001410/.

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[Abstract]: The disposal of animal waste has become a problem in many parts of the world due to the rapid growth in the number and the size of intensive animal industries. Safe waste disposal sites are rarely available and the relocation and/or treatment of animal waste is seldom economically viable. The reuse of animal waste for energy recovery and re-feeding is also not popular. Animal waste is a valuable source of plant nutrients and a very good soil conditioner, and has been commonly applied as fertiliser to agricultural fields. However, due to the increasing oversupply of animal waste in recent years, it has often been applied in excess to the agricultural fields. Excessive application of animal waste, without due consideration of its implications, is a serious concern. The run-off and leaching losses of nutrients from the fields fertilised with animal waste have contributed significantly to the eutrophication and toxic blue-green algae blooms in surface water systems and nitrification of ground water systems. It has also led to nutrient imbalances in the soils and odour pollution to the surrounding communities. The animal waste, which is a valuable source of plant nutrients, has thus become both an economic and environmental burden, and there is a need to develop a strategy for its sensible use as a fertiliser in agricultural fields. Sensible use of animal waste involves the consideration of all the agricultural, environmental, social, and economical limitations. A rational method of achieving this is to restrict the use of animal waste to sites suitable for such uses, identify areas where it can be relocated and applied economically, limit the application rates to a safe level, and observe appropriate manure management practices. This study addressed each of these components by developing a comprehensive manure application plan (MAP) for the site-specific use of animal waste as fertiliser in agricultural fields. Various geographic information systems (GIS) based techniques, including a weighted linear combination model and map algebra based cartographic modelling, were employed to achieve the goal. The appropriateness of the existing techniques and procedures were evaluated and modified to meet the current input requirements. New methods of analysis were devised as necessary. The Westbrook sub-catchment of the Condamine River catchment in south-east Queensland was selected as the study area. The sub-catchment covers 24,903 hectares and contains 39 intensive animal industries. The catchment is also a part of the Murray-Darling Basin, which has been suffering from toxic blue green algae blooms recurrently since 1991. This study identified that only about one-fifth of the sub-catchment area is suitable for animal waste application. Depending on the method of site suitability analysis and the number of input factors used the suitable area ranged between 16 and 22 percent. This comparatively small area is mainly due to the presence of a large proportion of non-agricultural areas in the sub-catchment. The suitable areas were also found to have various degrees of suitability for waste application. However, the degree of site suitability was affected by the number of input factors used in the analysis, the weighting of the factors, and the method of factor attribute standardisation. Conventional methods of weighting input factors were found to be cumbersome and not particularly suitable. Hence, this study developed a new ‘objective oriented comparison’ method of factor weighting. Standardisation of input factors using a continuous, rather than discrete, classification (ie fuzzy set) method was found to be more consistent in degree of suitability determination. The discrete classification of factor attributes into classes of different numbers and sizes, and the weighting of classes to a sum of one, were identified as a limitation in using this standardisation method. A new ‘weight adjustment’ method was devised and demonstrated to reduce factor-weighting biases. The suitable sites, degree of site suitability, and other relevant spatial and non-spatial information were processed within a GIS framework to develop a comprehensive manure application plan. The inherently high presence of available phosphorus in the soils of the study area was recognised and the P2O5 content in the manure was used as the basis for determining manure application rates. A complimentary nitrogen supply map was also generated. Manure management practices applicable to the areas with a lower degree of suitability were also suggested.
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Corner, Robert J. "Knowledge representation in geographic information systems." Curtin University of Technology, School of Spatial Sciences, 1999. http://espace.library.curtin.edu.au:80/R/?func=dbin-jump-full&object_id=11740.

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In order to satisfy increasing demand for better, smarter, more flexible land resource information an alternative form of representation is proposed. That representation is to be achieved through the coupling of Expert System methods and Geographic Information Systems. Instead of representing resource information using entities such as soil types, defined by rigid boundaries on a map, a more fluid presentation is proposed. Individual resource attributes will be represented by surfaces that describe their probability of occurrence, at a number of levels, across a landscape. Such flexible representations, which are designed to better capture the mental models behind their creation, are capable of being combined and synthesised to answer a wide range of resource queries.An investigation of methods of knowledge representation in a number of fields of research, led to the belief that a Bayesian Network provides a representational calculus that is appropriate to the "fuzzy" and imprecise conceptual models used in resource assessment. The fundamental mathematical principles of such networks have been tailored to provide a representation that is in tune with the intuitive processes of a surveyor's thinking.Software has been written to demonstrate the method and tested on a variety of data sets from Australia and overseas. These tests and demonstrations have used a range of densities of knowledge and range of acuity in evidential data. In general the results accord with the mental models used as drivers. A number of operational facets of the method have been highlighted during these demonstrations and attention has been given to a discussion of them.
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Books on the topic "GIS (Geographic Information System)"

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Institute, Environmental Systems Research, ed. Understanding geographic information system (GIS) software. Redlands, California: Environmental Systems Research Institute, 1995.

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United States. Forest Service. Information Systems. National GIS plan: Geographic information system. Washington, D.C: U.S. Dept. of State, Forest Service, Information Systems, 1988.

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K, Rodcay Gayle, ed. International GIS sourcebook: Geographic Information System technology. Fort Collins,CO: GIS World, 1993.

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Institute, Environmental Systems Research, ed. ArcView GIS: The geographic information system for everyone. Redlands, Calif: ESRI, 1996.

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United States. Dept. of Agriculture, ed. USDA service center geographic information system (GIS) strategy. [Washington, D.C.?]: U.S. Dept. of Agriculture, 1998.

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K, Rodcay Gayle, ed. GIS world sourcebook 1996: Geographic information system technology. Fort Collins, Colo: GIS World, Inc., 1995.

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Hershey, Rachel Riemann. The Federated GIS: An accessible geographic information system. London: London School of Economics and Political Science, Geographical Information Research Laboratory, 1991.

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Institute, Environmental Systems Research, ed. ArcView GIS: The geographic information system for everyone. Redlands,CA: ESRI, 1996.

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Bannura, Randall J. Murphy and Ramzi K. Integrating Airport Geographic Information System (GIS) Data with Public Agency GIS. Washington, D.C.: Transportation Research Board, 2014. http://dx.doi.org/10.17226/22288.

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Environmental Systems Research Institute (Redlands, Calif.), ed. Getting to know ArcView GIS: The geographic information system (GIS) for everyone. 3rd ed. Redlands, Calif: Environmental Systems Research Institute, 1999.

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Book chapters on the topic "GIS (Geographic Information System)"

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Shekhar, Shashi, and Hui Xiong. "Oracle Geographic Information System." In Encyclopedia of GIS, 820. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_933.

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Peck, Stewart B., Carol C. Mapes, Netta Dorchin, John B. Heppner, Eileen A. Buss, Gustavo Moya-Raygoza, Marjorie A. Hoy, et al. "Geographic Information System (GIS)." In Encyclopedia of Entomology, 1606. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-6359-6_1072.

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Kirilenko, Andrei P. "Geographic Information System (GIS)." In Applied Data Science in Tourism, 513–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-88389-8_24.

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Shekhar, Shashi, and Hui Xiong. "Geographic Information Systems." In Encyclopedia of GIS, 363. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_467.

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Kolios, Stavros, Andrei V. Vorobev, Gulnara R. Vorobeva, and Chrysostomos Stylios. "Geographic Information Systems." In GIS and Environmental Monitoring, 3–45. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53086-4_1.

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Jones, Phil. "Geographic Information System (GIS) Technology." In Encyclopedia of Behavioral Medicine, 940–41. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-39903-0_1340.

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Galik, Elizabeth, Shin Fukudo, Yukari Tanaka, Yori Gidron, Tavis S. Campbell, Jillian A. Johnson, Kristin A. Zernicke, et al. "Geographic Information System (GIS) Technology." In Encyclopedia of Behavioral Medicine, 856–57. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4419-1005-9_1340.

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Jones, Phil. "Geographic Information System (GIS) Technology." In Encyclopedia of Behavioral Medicine, 1–2. New York, NY: Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4614-6439-6_1340-2.

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Shekhar, Shashi, and Hui Xiong. "Collaborative Geographic Information Systems." In Encyclopedia of GIS, 97. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_145.

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Boeser, Shawn M., and Sarah M. Hamylton. "Geographic Information Systems (GIS)." In Encyclopedia of Earth Sciences Series, 870–75. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93806-6_149.

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Conference papers on the topic "GIS (Geographic Information System)"

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Erkan, Ali, and John Barr. "Geographic Information Systems (GIS)." In SIGCSE '18: The 49th ACM Technical Symposium on Computer Science Education. New York, NY, USA: ACM, 2018. http://dx.doi.org/10.1145/3159450.3162374.

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Ya'acob, Norsuzila, Aziean Mohd Azize, and Nik Muhammad Ridhwan Nik Zainal Alam. "Parking system using Geographic Information System (GIS)." In 2016 IEEE Conference on Systems, Process and Control (ICSPC). IEEE, 2016. http://dx.doi.org/10.1109/spc.2016.7920695.

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Player, R. S. V. "Geographic Information System (GIS) Use in Geotechnical Engineering." In GeoCongress 2006. Reston, VA: American Society of Civil Engineers, 2006. http://dx.doi.org/10.1061/40803(187)123.

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"Geographic Information System (GIS) Application in Flood Crisis Management." In 2nd International conference on Innovative Engineering Technologies. International Institute of Engineers, 2015. http://dx.doi.org/10.15242/iie.e0815007.

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Jamshad, Rabeya, Muhammad Umer Qureshi, and Santiago Grijalva. "Geographic Information Systems (GIS) Image Analysis for Prioritizing Power System Restoration." In 2018 Clemson University Power Systems Conference (PSC). IEEE, 2018. http://dx.doi.org/10.1109/psc.2018.8664080.

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Yusuf, Muhammad, Arif Muntasa, Moch Kautsar Sophan, Kazeem Oluwakemi Oseni, and Wahyudi Agustiono. "Geographic Information System (GIS) for Salt Management in Madura Island." In 2021 IEEE 7th Information Technology International Seminar (ITIS). IEEE, 2021. http://dx.doi.org/10.1109/itis53497.2021.9791561.

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Moore, Daniel F., Curtis Thompson, and R. Joseph Bergquist. "Geographic Information System (GIS) Decision Modeling for Water Pipeline Planning." In Pipeline Division Specialty Conference 2002. Reston, VA: American Society of Civil Engineers, 2002. http://dx.doi.org/10.1061/40641(2002)46.

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Wardell, Glenn, and Greg Scharfen. "Effective transfer of geographic information system (GIS) technology: An overview." In The earth and space science information system (ESSIS). AIP, 1993. http://dx.doi.org/10.1063/1.44459.

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Hariani, Mira Lestira, and Yackob Astor. "Paratransit network analysis using geographic information system (GIS) in Indonesia." In PROCEEDINGS OF THE SYMPOSIUM ON ADVANCE OF SUSTAINABLE ENGINEERING 2021 (SIMASE 2021): Post Covid-19 Pandemic: Challenges and Opportunities in Environment, Science, and Engineering Research. AIP Publishing, 2023. http://dx.doi.org/10.1063/5.0114021.

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"Geographic Information System Oriented GIS Automatic Surveying and Mapping Technology." In 2018 5th International Conference on Electrical & Electronics Engineering and Computer Science. Francis Academic Press, 2018. http://dx.doi.org/10.25236/iceeecs.2018.030.

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Reports on the topic "GIS (Geographic Information System)"

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Richardson, K. A. geophysical exploration and geographic information system (GIS) applications. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/211813.

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Tweddale, Scott A. Rock River Geographic Information System: ROCK-GIS (User Manual). Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada430945.

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Caldwell, Douglass R., and Linda H. Graff. Directional Regions in Geographic Information Systems (GIS). Fort Belvoir, VA: Defense Technical Information Center, August 1993. http://dx.doi.org/10.21236/ada268536.

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Han, Daikwon. Integrating Geographic Information System (GIS) into Breast Cancer Epidemiologic Research. Fort Belvoir, VA: Defense Technical Information Center, July 2005. http://dx.doi.org/10.21236/ada442872.

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Schlossberg, Marc. Active Transportation, Neighborhood Planning and Participatory GIS (Geographic Information System). Portland State University Library, September 2008. http://dx.doi.org/10.15760/trec.89.

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Kholoshyn, I., T. Nazarenko, O. Bondarenko, O. Hanchuk, and I. Varfolomyeyeva. The application of geographic information systems in schools around the world: a retrospective analysis. IOP Publishing, March 2021. http://dx.doi.org/10.31812/123456789/4560.

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The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70 s – early 90s of the 20th century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the 20th century – the beginning of the 21st century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.
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Холошин, Ігор Віталійович, Тетяна Геннадіївна Назаренко, Ольга Володимирівна Бондаренко, Олена Вікторівна Ганчук, and Ірина Миколаївна Варфоломєєва. The Application of Geographic Information Systems in Schools around the World: a Retrospective Analysis. КДПУ, 2020. http://dx.doi.org/10.31812/123456789/3924.

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Abstract:
The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70s – early 90s of the XX century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the XX century – the beginning of the XXI century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.
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Холошин, Ігор Віталійович, Тетяна Геннадіївна Назаренко, Ольга Володимирівна Бондаренко, Олена Вікторівна Ганчук, and Ірина Миколаївна Варфоломєєва. The Application of Geographic Information Systems in Schools around the World: a Retrospective Analysis. КДПУ, 2020. http://dx.doi.org/10.31812/123456789/3924.

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Abstract:
The article is devoted to the problem of incorporation geographic information systems (GIS) in world school practice. The authors single out the stages of GIS application in school geographical education based on the retrospective analysis of the scientific literature. The first stage (late 70s – early 90s of the XX century) is the beginning of the first educational GIS programs and partnership agreements between schools and universities. The second stage (mid-90s of the XX century – the beginning of the XXI century) comprises the distribution of GIS-educational programs in European and Australian schools with the involvement of leading developers of GIS-packages (ESRI, Intergraph, MapInfo Corp., etc.). The third stage (2005–2012) marks the spread of the GIS school education in Eastern Europe, Asia, Africa and Latin America; on the fourth stage (from 2012 to the present) geographic information systems emerge in school curricula in most countries. The characteristics of the GIS-technologies development stages are given considering the GIS didactic possibilities for the study of school geography, as well as highlighting their advantages and disadvantages.
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Lott, Casey A., Peter A. Durkee, Wendy A. Gierhart, and Patty P. Kelly. Florida Coastal Engineering and Bird Conservation Geographic Information System (GIS) Manual. Fort Belvoir, VA: Defense Technical Information Center, December 2009. http://dx.doi.org/10.21236/ada537470.

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Han, Daikwon. Integrating Geographic Information Systems (GIS) Into Breast Cancer Epidemiologic Research. Fort Belvoir, VA: Defense Technical Information Center, February 2006. http://dx.doi.org/10.21236/ada457468.

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