Academic literature on the topic 'Mapping (GIS)'

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Journal articles on the topic "Mapping (GIS)"

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Kent, Robert B., and Richard E. Klosterman. "GIS and Mapping." Journal of the American Planning Association 66, no. 2 (June 30, 2000): 189–98. http://dx.doi.org/10.1080/01944360008976098.

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Mallon, Melissa. "GIS and Mapping." Public Services Quarterly 15, no. 3 (July 3, 2019): 224–32. http://dx.doi.org/10.1080/15228959.2019.1629857.

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Singh, Harpinder, Rajneesh Kumar, Amardeep Singh, and P. K. Litoria. "Cloud GIS for Crime Mapping." International Journal of Research in Computer Science 2, no. 3 (April 30, 2012): 57–60. http://dx.doi.org/10.7815/ijorcs.23.2012.030.

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Scarletto, Edith A. "Mapping the Literature of GIS." College & Research Libraries 75, no. 2 (March 1, 2014): 179–201. http://dx.doi.org/10.5860/crl12-389.

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This study analyzed citations in four journals, Annals of the Association of American Geographers, Cartography and Geographic Information Science, International Journal of Geographical Information Science, and Cartographic Journal, using Bradford’s Law of Scattering to identify three influence zones indicating core and peripheral titles in the study areas of GIS. Journals were ranked resulting in twenty-three core journals and 187 secondary journals. Scores for relevant indexing/abstracting services are also given to describe access points and coverage. The results can assist librarians and collection managers to support research in their institutions where GIS is both used and studied.
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Crampton, Jeremy W. "Online Mapping and Critical GIS." Cartographic Perspectives, no. 39 (June 1, 2001): 46–47. http://dx.doi.org/10.14714/cp39.639.

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Dahal, Ranjan Kumar. "Landslide hazard mapping in GIS." Journal of Nepal Geological Society 53 (December 31, 2017): 63–91. http://dx.doi.org/10.3126/jngs.v53i0.23808.

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Landslides are common geologic hazard occurring in all parts of the world predominantly in the rainy season. In recent years, landslide risk mapping has played an important role in developing land-use planning and it helps to minimize the loss of lives and damages to property. A variety of approaches have been used in landslide hazard and risk assessment and these can be classified into heuristic approach, statistical approach, deterministic approach, etc. An abrupt development of computers after 1990, geographic information systems (GIS) became essential tools for landslide hazard assessment. However, validation and replication is always difficult and there are little works on the satisfactory validation of various approaches. This paper deals with several aspects of landslide hazard and risk assessment by presenting a focalized review of GIS-based landslide hazard and risk assessment with a critical information of the state of the art in using GIS and digital elevation model (DEM) derivative for landslide hazard and risk assessment. This paper also describes some statistical and deterministic approaches and suggests detail step-by-step methodologies. It also describes in brief about integration of various database software and GIS.
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Carr, Jerry E. "Mapping and GIS Standards Meeting." Eos, Transactions American Geophysical Union 70, no. 16 (1989): 540. http://dx.doi.org/10.1029/89eo00126.

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Cofrancesco, Pacifico, Consuelo Capolupo, and Alessia Frisetti. "Mapping Medieval Christianity. CARE-GIS." Journal on Computing and Cultural Heritage 12, no. 4 (January 10, 2020): 1–12. http://dx.doi.org/10.1145/3336125.

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Rouzbehani, Khadijeh, and Shirin Rouzbehani. "Mapping Women's World." International Journal of Public Health Management and Ethics 3, no. 1 (January 2018): 14–25. http://dx.doi.org/10.4018/ijphme.2018010102.

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Feminist geography and geographic information system(GIS) have been the most dynamic research areas over the last decade. Unfortunately, high breast cancer mortality rates have been reported in the northern part of the United states, with recent attention focused on the northern part of the United States. In this article, the authors investigate whether such a high rate of breast cancer is evenly spread in northern parts. The purpose of this article is to provide a more detailed analysis of the breast cancer distribution in the United States by comparing the spatial distribution of breast cancer cases against physical environmental factors using Geographic Information System (GIS). Further, it gives background information to the GIS and its applications in health-related research.
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Eshrokov, V. M., R. K. Mahmudov, and O. A. Gorban. "GIS MAPPING OF POVERTY IN RUSSIA." Proceedings of the International conference “InterCarto/InterGIS” 1, no. 21 (January 1, 2015): 48–54. http://dx.doi.org/10.24057/2414-9179-2015-1-21-48-54.

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Dissertations / Theses on the topic "Mapping (GIS)"

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Yunatci, Ali Anil. "Gis Based Seismic Hazard Mapping Of Turkey." Phd thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612688/index.pdf.

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Efficiency of probabilistic seismic hazard analysis mainly depends on the individual successes of its complementing components
such as source characterization and ground motion intensity prediction. This study contributes to major components of the seismic hazard workflow including magnitude &ndash
rupture dimension scaling relationships, and ground motion intensity prediction. The study includes revised independent models for predicting rupture dimensions in shallow crustal zones, accompanied by proposals for geometrically compatible rupture area-length-width models which satisfy the rectangular rupture geometry assumption. Second main part of the study focuses on developing a new ground motion prediction model using data from Turkish strong ground motion database. The series of efforts include, i) compilation and processing of a strong motion dataset, ii) quantifying parameter uncertainties of predictive parameters such as magnitude and source to site distance
and predicted accelerations due to uncertainty in site conditions and response, as well as uncertainty due to random orientation of the sensor, iii) developing a ground response model as a continuous function of peak ground acceleration and shear wave velocity, and finally, iv) removing bias in predictions due to uneven sampling of the dataset. Auxiliary components of the study include a systematic approach to source characterization problem, with products ranging from description of systematically idealized and documented seismogenic faults in Anatolia, to delineation, magnitude-recurrence parameterization, and selection of maximum magnitude earthquakes. Last stage of the study covers the development of a custom computer code for probabilistic seismic hazard assessment which meets the demands of modern state of practice.
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Weikmann, Amanda Maria. "Urban Erosion Potential Risk Mapping with GIS." Thesis, Virginia Tech, 2018. http://hdl.handle.net/10919/81879.

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Federal, state and local governments are increasingly focused on the effects of development on water quality and quantity. With waterbodies being especially sensitive to certain pollutants, such as sediment and nutrients, regulations have been put in place to control the amount of pollutant that gets discharged. Sediment is a cause for concern as it originates during both rural and urban activities, and often carries other pollutants (metals, nutrients, etc.) with it. Existing erosion models focus primarily on estimating erosion from agricultural watersheds. Methods are needed to predict areas with high erosive potential (EP) in urban watersheds. Highlighting highly erosive areas in urbanized watersheds allows for the prioritization of maintenance and installation of Stormwater Control Measures (SCMs), and monitoring of sediment by municipal planners and engineers. This study utilizes commonly available geospatial layers in conjunction with a computational procedure to compute relative EP risk throughout a target urban watershed. A case study of the developed methodology was performed on a watershed in Blacksburg, VA, to generate EP risk maps. Results of the study indicate areas of erosive potential within the target watershed and provide a methodology for creating erosion potential risk maps for use by municipal planners and engineers
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Miller, Roy H. III. "Spatial Mapping of Strain Patterns Using GIS." Bowling Green State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=bgsu1441362674.

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Bolanos, Arias Sandra. "Using image analysis and GIS for coffee mapping." Thesis, McGill University, 2007. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=18477.

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Currently, the system that developing countries use to map coffee crops is expensive, tedious and inaccurate; therefore coffee maps cannot be updated frequently and production cannot be accurately estimated. If such countries could map coffee crops in a cost-effective way, they would have an advantage in terms of setting the prices and getting a higher return for their product. Here I hypothesize that coffee systems can be properly characterized and mapped using the spectral and spatial information derived from satellite images and topographic data. I also believe that during the spatial analysis of the data, the additional information provided by an object-based approach (comprehensive information about the shape and context of a particular area) provides more information than a pixel-based one, traditionally used in the integration of Remote Sensing and Geographic Information Systems (GIS). I statistically analyzed spatial and spectral characteristics of different coffee systems (monoculture, polyculture and agroforestry systems) in three study areas in Colombia of 70km2 each. I integrated satellite images and topographic grids using both pixel-based and object-based approaches in a hierarchical approach and the results were compared. Following this hierarchical approach, a preliminary classification was performed to reduce the number of classes spectrally similar to coffee systems. Then in a second step, the classification was refined using decision rules from the statistical analysis of objects (composed of at least 3 pixels). Finally, using the same objects, the classification was refined further, through linear spectral unmixing. The results show that the rule-based classification combined with an object-based approach can improve the overall accuracy of the classification by 3% and by 17.47% for the coffee class when compared to the pixel-based analysis. The linear spectral unmixing, however, does not contribute to improve the classification a
Actuellement, le système que les pays en voie de développement emploient pour cartographier les récoltes de café est cher, pénible et imprécis. Ainsi, les cartes de café ne peuvent être mises à jour fréquemment et la production ne peut pas être estimée avec exactitude. Si ces pays pouvaient cartographier les récoltes de café d'une manière plus économique, ils auraient un avantage pour fixer les prix et obtenir des revenus plus élevés pour leur produit. Je pose ici l'hypothèse que les zones de café peuvent être correctement caractérisés et cartographiés en utilisant l'information spectrale et spatiale dérivée des images satellites et des données topographiques. Je suppose également que pendant l'analyse spatiale des données, l'information additionnelle fournie par une approche 'object-basée' (informations complètes sur la forme et le contexte d'une zone particulière) fournit plus d'informations que qu'une approche 'pixel-basée', traditionnellement utilisée dans l'intégration de la télédétection et des systèmes d'information géographiques (GIS). J'ai analysé (statistiquement) les caractéristiques spatiales et spectrales des systèmes de café dans trois secteurs d'étude en Colombie de 70km2 chacun. J'ai intégré des images satellites et des grilles topographiques en utilisant les 2 approches 'pixel-basée' et 'object-basée' dans une approche hiérarchique et les résultats ont été comparés. Des objets ont été formés sur la base de la similitude spectrale des bandes 2.3.4 5 et 7. Après l'approche hiérarchique, une classification préliminaire a été effectuée pour réduire le nombre de classes spectralement semblables aux systèmes de café. Alors, dans une deuxième étape, la classification est affinée en utilisant des règles de décision sur l'analyse statistique de plus petits objets (composés de 5 pixel ou moins). Finalement, en utilisant les mêmes objets, la classification a été de nouveau affin
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Tyoda, Zipho. "Landslide susceptibility mapping : remote sensing and GIS approach." Thesis, Stellenbosch : Stellenbosch University, 2013. http://hdl.handle.net/10019.1/79856.

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Thesis (MSc)--Stellenbosch University, 2013.
Landslide susceptibility maps are important for development planning and disaster management. The current synthesis of landslide susceptibility maps largely applies GIS and remote sensing techniques. One of the most critical stages on landslide susceptibility mapping is the selection of landslide causative factors and weighting of the selected causative factors, in accordance to their influence to slope instability. GIS is ideal when deriving static factors i.e. slope and aspect and most importantly in the synthesis of landslide susceptibility maps. The integration of landslide causative thematic maps requires the selection of the weighting method; in order to weight the causative thematic maps in accordance to their influence to slope instability. Landslide susceptibility mapping is based on the assumption that future landslides will occur under similar circumstances as historic landslides. The weight of evidence method is ideal for landslide susceptibility mapping, as it calculates the weights of the causative thematic maps using known landslides points. This method was applied in an area within the Western Cape province of South Africa, the area is known to be highly susceptible to landslide occurrences. A prediction rate of 80.37% was achieved. The map combination approach was also applied and achieved a prediction rate of 50.98%. Satellite remote sensing techniques can be used to derive the thematic information needed to synthesize landslide susceptibility maps and to monitor the variable parameters influencing landslide susceptibility. Satellite remote sensing techniques can contribute to landslide investigation at three distinct phases namely: (1) detection and classification of landslides (2) monitoring landslide movement and identification of conditions leading up to an event (3) analysis and prediction of slope failures. Various sources of remote sensing data can contribute to these phases. Although the detection and classification of landslides through the remote sensing techniques is important to define landslide controlling parameters, the ideal is to use remote sensing data for monitoring of areas susceptible to landslide occurrence in an effort to provide an early warning. In this regard, optical remote sensing data was used successfully to monitor the variable conditions (vegetation health and productivity) that make an area susceptible to landslide occurrence.
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Lee, Jong Won. "Effect of gis learning on spatial ability." Diss., Texas A&M University, 2003. http://hdl.handle.net/1969.1/3896.

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This research used a spatial skills test and cognitive-mapping test to examine the effect of GIS learning on the spatial ability and spatial problem solving of college students. A total of 80 participants, undergraduate students at Texas A&M University, completed pre- and post- spatial skills tests administered during the 2003 fall semester. Analysis of changes in the students’ test scores revealed that GIS learning could help students improve their spatial ability. Strong correlations existed between the participants’ spatial ability and their performance in the GIS course. The research also found that spatial ability improvement linked to GIS learning was not significantly related to differences in gender or to academic major (geography majors vs. science and engineering majors). A total of 64 participants, recruited from students enrolled in Introduction to GIS and Computer Cartography at Texas A&M University, completed pre- and post- cognitive-mapping tests administered during the 2003 fall semester. Students’ performance on the cognitive-mapping test was used to measure their spatial problem solving. The study assumed that the analysis of the individual map-drawing strategies would reveal information about the cognitive processes participants used to solve their spatial tasks. The participants were requested to draw a map that could help their best friends find their way to three nearby commercial locations. The map-drawing process was videotaped in order to allow the researcher to classify subjects’ map-drawing strategies. The study identified two distinctive map-drawing strategies: hierarchical and regional. Strategies were classified as hierarchical when subjects began by drawing the main road network across the entire map, and as regional when they completed mapping sub-areas before moving on to another sub-area. After completion of a GIS course, a significant number of participants (about half) changed their map-drawing strategies. However, more research is necessary to address why these changes in strategy came about.
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Rock, Nathaniel Robert. "Mapping geospatial events based on extracted spatial information from web documents." Thesis, University of Iowa, 2011. https://ir.uiowa.edu/etd/1068.

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Web documents such as news articles, social feeds, and blogs provide an abundant and readily available data source of spatial information relating to dynamic events such as wildfires, storms, and chemical spills. Research in the fields of geographic information retrieval and natural language processing use methods to extract place-names from web documents that can be used to geocode these events. However much of the spatial information in these articles are difficult to use because of the inherent vagueness of natural language. This thesis aims to develop methods to handle the vaguness of representing natural language descriptions of events by integrating precise spatial information (landmarks and geographic coordinates) with imprecise spatial information to provide a map-based visualization of the likely spatial extent and location of web document events.
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Wade, Steven David. "The development of geographical information systems for nitrate vulnerability mapping." Thesis, Coventry University, 1996. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.336455.

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Ricci, Mattia. "Web Mapping: dai GIS ai sistemi per la geolocalizzazione." Bachelor's thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amslaurea.unibo.it/9553/.

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L'elaborato tratta dell'evoluzione dei sistemi di raccolta dati geografici e mappatura grazie all'utilizzo delle tecnologie informatiche e di come sia cambiato il loro utilizzo nel corso del tempo e l'utenza che ne fa uso. Viene anche trattata in maniera tecnica la struttura che compone uno di questi sistemi per permettere l'interazione via web con una mappa digitale. Si effettuano inoltre ipotesi su possibili sviluppi futuri di tali tecnologie.
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Firoozi, Nejad Behnam. "Population mapping using census data, GIS and remote sensing." Thesis, Queen's University Belfast, 2016. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.705917.

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This thesis assesses approaches to population surface modeling by pulling together the benefits of reference gridded population data with local regression procedures and geographically weighted regression. This study provides a more detailed assessment of surface modelling accuracy than was achieved in any previous studies to assess factors which explain errors in the predictions. The primary aim of this thesis is to evaluate Martin’s (1989) population surface modeling approach and also design and implement a method using secondary data, suitable for application in England and Wales. This research is based on the idea that population data presented for a single zone could be redistributed in the zone using local parameters such as housing density. A weighted sum performs the spatial redistribution. The thesis also aims to make use of remote sensing (RS) data and image processing techniques such as maximum likelihood classification and normalised difference vegetation index to identify (un) populated cells. The potential of Landsat images and RS data analysis is assessed particularly for countries where high quality land use data are not readily obtainable, and their generation is not feasible in the near future. This thesis focuses on the identification of unpopulated cells, rather than populated units, using RS data. Case studies make use of data from Northern Ireland (NI), and Jonkoping in southern Sweden. The outcomes indicate the impact of population density, population variance, and resolution of source zones on the accuracy of population allocation to grid cells using Martin’s (1989) model. The results show significant accuracy in prediction to 100m cells using an alternative approach based on settlement data for NI and this is recommended as an alternative method for England and Wales. It also concluded that there the potential to generate population surfaces using Landsat data for areas where local residential data are not easily accessible.
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Books on the topic "Mapping (GIS)"

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Chainey, Spencer, and Jerry Ratcliffe. GIS and Crime Mapping. Chichester, West Sussex, England: John Wiley & Sons, Inc., 2005. http://dx.doi.org/10.1002/9781118685181.

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Frieling, Hans-Dieter von. Digitale Karten in GIS. Göttingen: Selbstverlag Abt. Kultur- und Sozialgeographie, Geographisches Institut der Universität Göttingen, 1993.

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Emde, Astrid. Web-Mapping: Mit Open Source-GIS-Tools. Beijing: O’Reilly Media, 2008.

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1955-, Bartlett Darius J., and Smith Jennifer L, eds. GIS for coastal zone management. Boca Raton: CRC Press, 2005.

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Crampton, Jeremy W. Mapping: A critical introduction to cartography and GIS. Malden, Mass: Wiley-Blackwell, 2010.

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Crampton, Jeremy W. Mapping: A critical introduction to cartography and GIS. Malden, Mass: Wiley-Blackwell, 2010.

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GIS online: Information retrieval, mapping, and the Internet. Santa Fe, NM: OnWord Press, 1997.

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Beyond mapping: Concepts, algorithms, and issues in GIS. Ft. Collins, Colo., USA: GIS World, Inc., 1993.

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Carranza, Emmanuel John M. Geochemical anomaly and mineral prospectivity mapping in GIS. Amsterdam, The Netherlands: Elsevier, 2009.

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Crampton, Jeremy W. Mapping: A critical introduction to cartography and GIS. Malden, Mass: Wiley-Blackwell, 2010.

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Book chapters on the topic "Mapping (GIS)"

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Shekhar, Shashi, and Hui Xiong. "Mapping." In Encyclopedia of GIS, 633. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_747.

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Christakos, George, Patrick Bogaert, and Marc L. Serre. "Spatiotemporal Mapping." In Temporal GIS, 53–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2001. http://dx.doi.org/10.1007/978-3-642-56540-3_4.

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Shekhar, Shashi, and Hui Xiong. "Cognitive Mapping." In Encyclopedia of GIS, 97. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_143.

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Shekhar, Shashi, and Hui Xiong. "Crime Mapping." In Encyclopedia of GIS, 180. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_225.

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Shekhar, Shashi, and Hui Xiong. "Digital Mapping." In Encyclopedia of GIS, 240. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_292.

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Shekhar, Shashi, and Hui Xiong. "Disease Mapping." In Encyclopedia of GIS, 245. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_304.

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Shekhar, Shashi, and Hui Xiong. "Epidemiological Mapping." In Encyclopedia of GIS, 287. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_361.

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Shekhar, Shashi, and Hui Xiong. "Schema Mapping." In Encyclopedia of GIS, 1027. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1167.

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Shekhar, Shashi, and Hui Xiong. "Genome Mapping." In Encyclopedia of GIS, 344. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_453.

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Drucker, Johanna. "Mapping and GIS." In The Digital Humanities Coursebook, 130–50. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis, 2021.: Routledge, 2021. http://dx.doi.org/10.4324/9781003106531-8.

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Conference papers on the topic "Mapping (GIS)"

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Meng, Caihong, Yongchun Yang, Yanjun Liu, and Haojie Hu. "A GIS-based urban landscape change analysis of Lanzhou City, China." In International Symposium on Lidar and Radar Mapping Technologies. SPIE, 2011. http://dx.doi.org/10.1117/12.912797.

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Li, Peng, Cheng Wang, Hanyun Wang, and Shengyong Hao. "Spatiotemporal Segmentation of GIS Object for Mobile Mapping System." In 2011 International Workshop on Multi-Platform/Multi-Sensor Remote Sensing and Mapping (M2RSM). IEEE, 2011. http://dx.doi.org/10.1109/m2rsm.2011.5697370.

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Nizovtsev, Viacheslav. "HISTORICAL MAPPING OF LANDSCAPES AND GIS TECHNOLOGIES." In 20th International Multidisciplinary Scientific GeoConference Proceedings SGEM 2020. STEF92 Technology, 2020. http://dx.doi.org/10.5593/sgem2020/2.2/s11.043.

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Maghanoy, Joie Ann W. "Crime mapping report mobile application using GIS." In 2017 IEEE 2nd International Conference on Signal and Image Processing (ICSIP). IEEE, 2017. http://dx.doi.org/10.1109/siprocess.2017.8124542.

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Gouviez, Benoit, Bina George, and Mouna Nizar. "GIS: The Global Risk Mapping Towards Digital." In Abu Dhabi International Petroleum Exhibition & Conference. Society of Petroleum Engineers, 2018. http://dx.doi.org/10.2118/192977-ms.

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Abouelenean, Gamal. "Enhancing Lighted Navigational Aids Using GIS Mapping." In 2009 International Conference on Management and Service Science (MASS). IEEE, 2009. http://dx.doi.org/10.1109/icmss.2009.5302447.

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Min Zhou. "GIS-based City central area Noise mapping." In 2011 International Conference on Remote Sensing, Environment and Transportation Engineering (RSETE). IEEE, 2011. http://dx.doi.org/10.1109/rsete.2011.5964743.

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Dyras, Izabela. "Satellite derived precipitation mapping using GIS technology." In Remote Sensing, edited by Manfred Ehlers and Ulrich Michel. SPIE, 2005. http://dx.doi.org/10.1117/12.627728.

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Nikolakopoulos, Konstantinos G., Dimitrios Kozarski, and Stefanos Kogkas. "Coastal areas mapping using UAV photogrammetry." In Earth Resources and Environmental Remote Sensing/GIS Applications, edited by Ulrich Michel and Karsten Schulz. SPIE, 2017. http://dx.doi.org/10.1117/12.2278121.

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Hitchcock, Christopher, Stuart Nishenko, Chih-Hung Lee, Joseph Sun, Sean Sundermann, Mark Zellman, and Robert Givler. "GIS-Based Seismic Hazard Mapping for Pipeline Integrity Management." In 2006 International Pipeline Conference. ASMEDC, 2006. http://dx.doi.org/10.1115/ipc2006-10351.

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Geographic information systems (GIS) technology enables sophisticated, numerical-based mapping of earthquake hazards, including liquefaction and landslide susceptibility, on a regional basis for pipeline systems. Existing earthquake hazard mapping was integrated with interpretation of topographic, geologic, hydrologic, and geotechnical data to update an earthquake hazard database for Pacific Gas & Electric Company’s California Gas Transmission (CGT), as part of the CGT Pipeline System Integrity program. The regionally consistent, map-based database covering CGT’s pipeline system in northern California allows for modeling of possible pipeline impacts from moderate to large earthquakes. GIS-based modeling that incorporates the hazard mapping is a powerful tool for planning and emergency response purposes. Specifically, near real-time models of possible pipeline damage locations can be derived from internet-based groundshaking records (USGS ShakeMap) produced after earthquakes. Scenario-based models of earthquake impacts from possible earthquakes can be used for planning purposes.
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Reports on the topic "Mapping (GIS)"

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Brown, Roger O. Feature Mapping in a Photogrammetric GIS. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada258595.

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Brown, Roger O. Feature Mapping in a Photogrammetric GIS. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada275418.

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Brown, Roger O. Photogrammetric GIS Technology: Feature Mapping on Digital Stereo Imagery. Fort Belvoir, VA: Defense Technical Information Center, August 1991. http://dx.doi.org/10.21236/ada254255.

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4

Christel, L. M. Historical wetlands mapping and GIS processing for the Savannah River Site Database. Office of Scientific and Technical Information (OSTI), August 1994. http://dx.doi.org/10.2172/10195731.

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5

Wright, D. F., and G. F. Bonham-Carter. VHMS favourability mapping with GIS-based integration models, Chisel Lake-Anderson Lake area. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1996. http://dx.doi.org/10.4095/207595.

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Evans, Paul. Improving Coordination through Mapping: Using GIS to map community boreholes in South Sudan. Oxfam, September 2017. http://dx.doi.org/10.21201/2017.0735.

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7

Suhartono, Suhartono, Agoes Soegianto, and Achmad Amzeri. Mapping of land potentially for maize plant in Madura Island-Indonesia using remote sensing data and geographic information systems (GIS). EM International, November 2020. http://dx.doi.org/10.21107/amzeri.2020.1.

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Abstract:
Maize productivity in Indonesia was still low (5.241 tons/ha) compared to the average of the ten largest maize producing countries in the world (6.179 tons/ha). The potential for maize on the island of Madura is approximately 360,000 hectares. The potential for maize cultivation in Madura continues to decrease in land quality due to improper land clearing and land-use change. The purpose of this research was to make a map of land suitability for maize using Remote Sensing Data and Geographic Information System (GIS). The land suitability method for maize plants used satellite imagery as a data source, supported by fieldwork and secondary data. Data analysis using Geographic Information Systems (GIS). The results of the analysis of land suitability modeling based on agroecosystem potential found that most of the Madura area was suitable for maize cultivation. Madura island had a land area of 456,622.3ha for maize cultivation, where 170.379.5 (15.4%) was very appropriate, 211.412.3 ha (46.3%) was appropriate, 160,098.6 (35.1%) was less appropriate, and 14,732.0 ha (3.2%) was not appropriate.
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Agung, Hilman. Mapping and Monitoring WASH Facilities: Integrating mobile data collection and GIS tools for better monitoring in Tanzania. Oxfam, September 2017. http://dx.doi.org/10.21201/2017.0742.

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Wetherell, K., B. Edwards, and K. Simpson. Preliminary results of field mapping, petrography, and GIS spatial analysis of the West Tuya lava field, northwestern British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2005. http://dx.doi.org/10.4095/221033.

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Edwards, B. R., and A. Bye. Preliminary results of field mapping, GIS spatial analysis, and major-element geochemistry, Ruby Mountain volcano, Atlin volcanic district, northwestern British Columbia. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2003. http://dx.doi.org/10.4095/214027.

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