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Letteratura scientifica selezionata sul tema "Spatial database"

Autore: Grafiati

Pubblicato: 4 giugno 2021

Ultima modifica: 25 luglio 2025

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Articoli di riviste sul tema "Spatial database"

1

Abdulrahman Kareem Zada, Ashna. "Assess the Changing Role of Database Technology within Geographic Information System Over the Past 45 Years." Polytechnic Journal 9, no. 1 (2019): 26–31. http://dx.doi.org/10.25156/ptj.v9n1y2019.pp26-31.

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Spatial data stored in databases have been become progressively crucial in the geographic information system (GIS) field within recent years. Spatial data are increasingly being noted for its significance in representing for real-life relationships. The value of spatial databases cannot be underestimated since it has been established to be an efficient and flexible means of handling enormous spatial datasets. This paper shows the different methods, in which spatial data are integrated by major database vendors and database within GIS. The current report has also examined the new technologies a

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Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 79–94. http://dx.doi.org/10.21009/spatial.222.01.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3

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Azhari, Septian Cahya, Iman Hilman, Siti Fadjarajani, and Guruh Sukmo. "A Bibliometric Analysis: Remote Sensing Literature in Dimensions.ai Database." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 22, no. 2 (2022): 91–106. http://dx.doi.org/10.21009/spatial.222.001.

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This research using bibliometric analysis aims to identify and visualize research developments in the field of remote sensing studies. The data is obtained from 2021-2022 through dimensions.ai with criteria for articles that have a digital object identifier (DOI). The data generated were 2645 articles which were then analyzed using the VosViewer device. The data analyzed includes the development of popular keywords, affiliations, countries and authors who do a lot of research in the field of remote sensing. The results of the study found 4 clusters with 216 items for keywords, 6 clusters and 3

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Salzberg, Betty, and David B. Lomet. "Spatial database access methods." ACM SIGMOD Record 20, no. 3 (1991): 6–15. http://dx.doi.org/10.1145/126482.126483.

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Devogele, Thomas, Christine Parent, and Stefano Spaccapietra. "On spatial database integration." International Journal of Geographical Information Science 12, no. 4 (1998): 335–52. http://dx.doi.org/10.1080/136588198241824.

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Yu, Yong Ling, Tao Guan, and Jin Fa Shi. "Spatial Data Mining Based on Campus GIS." Advanced Materials Research 282-283 (July 2011): 641–45. http://dx.doi.org/10.4028/www.scientific.net/amr.282-283.641.

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With the rapid development of spatial database technology, spatial databases have been widely used in many engineering fields and rapidly increase in data capacity. Thus, to mine useful information from large spatial databases turns into a difficult but important task. In this paper, we apply the traditional data mining into spatial database and give a mining model for spatial data based on Campus GIS. Moreover, based on campus GIS, we implement a spatial data mining prototype system that is able to discovery the useful spatial features and patterns in spatial databases. The application in the

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Di Martino, Ferdinando, and Salvatore Sessa. "Fuzzy Reliability in Spatial Databases." Advances in Fuzzy Systems 2013 (2013): 1–9. http://dx.doi.org/10.1155/2013/107358.

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Today it is very difficult to evaluate the quality of spatial databases, mainly for the heterogeneity of input data. We define a fuzzy process for evaluating the reliability of a spatial database: the area of study is partitioned in isoreliable zones, defined as homogeneous zones in terms of data quality and environmental characteristics. We model a spatial database in thematic datasets; each thematic dataset concerns a specific spatial domain and includes a set of layers. We estimate the reliability of each thematic dataset and therefore the overall reliability of the spatial database. We hav

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Savira Djumi Wardhani, Aisyah Trees Sandy, and Oot Hotimah. "Analisis Penyesuaian Perpetaan RDTR Perkotaan Sebulu dengan Permen ATR/BPN No. 11 dan 14 Tahun 2021." Jurnal Spatial Wahana Komunikasi dan Informasi Geografi 25, no. 1 (2025): 1–9. https://doi.org/10.21009/spatial.251.001.

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The issuance of Kutai Kartanegara Regional Regulation Number 7 of 2023 for the Spatial Plan (RTRW) of Kutai Kartanegara Regency for 2023-2042 forms the basis for preparing the RDTR for Sebulu Urban Area. The 2019 Kutai Kartanegara Regent Regulation guided the RDTR preparation using earlier regulations. New guidelines in 2021 necessitated RDTR mapping adjustments. This study aims to analyze RDTR mapping before and after improvements, using a qualitative approach and descriptive method. Techniques include overlay and topology analysis, evaluating strategic contents and the mapping database. Stra

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Kranjčić, Nikola, Bojan Đurin, Dragana Dogančić, and Lucija Plantak. "Improving Management of Spatial Data through Spatial Database." Environmental Sciences Proceedings 5, no. 1 (2020): 5. http://dx.doi.org/10.3390/iecg2020-08865.

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Entering the European Union, the Republic of Croatia took over the INSPIRE directive called the National Spatial Data Infrastructure. A large amount of spatial data can be found through the National Spatial Data Infrastructure Geoportal. Data are available for viewing or downloading via different services, such as a web mapping service or web feature service. Although different spatial data are available, it is hard to access useful information through Geoportal. The aim of this paper is to prepare a spatial database which will gather different spatial data related to environmental engineering

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Kong, Ling Yan, Ying Chun Tao, Jing Liu, and Ai Hua Wu. "Study on Integrated Spatial Database for Composite Urban Disaster Risk Assessment." Applied Mechanics and Materials 738-739 (March 2015): 285–88. http://dx.doi.org/10.4028/www.scientific.net/amm.738-739.285.

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In the research of urban disaster risk assessment, data is the most basic element. Accurate, comprehensive, high quality data is essential to ensure the accuracy of disaster analysis and disaster risk classification. The systematic methods of data acquisition, processing and management and analysis need to be studied. In this paper, based on the analysis of characteristics of urban-disasters composite risk assessment data, the risk assessment database is designed. According to processing phase, the database is divided into four sub-databases: gathering database, general database, study area da

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Tesi sul tema "Spatial database"

1

Shou, Yutao Sindy, and 壽玉濤. "Efficient query processing for spatial and temporal databases." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2004. http://hub.hku.hk/bib/B29853655.

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Pfeifle, Martin. "Spatial Database Support for Virtual Engineering." Diss., lmu, 2004. http://nbn-resolving.de/urn:nbn:de:bvb:19-27018.

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Yeung, Tony. "Storing Protein Structure in Spatial Database." Digital Archive @ GSU, 2005. http://digitalarchive.gsu.edu/cs_theses/8.

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In recent years, the field of bioinformatics has exploded in a scale that is unprecedented. The amount of data generated from different genome projects demands a new and efficient way of information storage and retrieval. The analysis and management of the protein structure information has become one of the main focuses. It is well-known that a protein’s functions differ depending on its structure’s position in 3-dimensional space. Due to the fact that protein structures are exceedingly large, complex, and multi-dimensional, there is a need for a data model that can fulfill the requirements of

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Eriksson, Ludvig. "Using IndexedDB with a spatial database." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148355.

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Web technologies are becoming increasingly useful with new features and the gap to native apps is narrowing. Recently, IndexedDB was added to the web standard to provide large scale storage solutions directly in the browser. Is it performant enough to be used with a spatial database? In this study, such a system is developed for Foran Sverige AB and we learn that IndexedDB indeed can be used for this purpose. Even storage demanding geospatial applications can be developed as a multi- platform system with a single codebase, all while broadening the possible audience reach by avoiding an app ins

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Prasher, Sham. "Query processing in multiresolution spatial databases /." [St. Lucia, Qld.], 2005. http://www.library.uq.edu.au/pdfserve.php?image=thesisabs/absthe18682.pdf.

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Tao, Yufei. "Indexing and query processing of spatio-temporal data /." View Abstract or Full-Text, 2002. http://library.ust.hk/cgi/db/thesis.pl?COMP%202002%20TAO.

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Thesis (Ph. D.)--Hong Kong University of Science and Technology, 2002.<br>Includes bibliographical references (leaves 208-215). Also available in electronic version. Access restricted to campus users.

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Ingemarsson, Gabriel. "Database Performance for GIS : A Comparison of Database Schemas for Measurements with Spatial Attributes." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-255022.

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Abstract (sommario):

Spatial databases are becoming more and more important. One type of spatial database is a database of measurements, which combine positions with alphanumerical attributes. While these databases are important, little research has been done on them. There is therefore need for research on how to store this type of data most effectively.In this thesis a read performance benchmark and an execution plan analysis of three different database schemas using two different datasets of different size are presented. The three schemas investigated are the existing schema of the dataset, a schema where the s

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Liu, Qing Computer Science &amp Engineering Faculty of Engineering UNSW. "Summarization of very large spatial dataset." Awarded by:University of New South Wales. School of Computer Science and Engineering, 2006. http://handle.unsw.edu.au/1959.4/25489.

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Nowadays there are a large number of applications, such as digital library information retrieval, business data analysis, CAD/CAM, multimedia applications with images and sound, real-time process control and scientific computation, with data sets about gigabytes, terabytes or even petabytes. Because data distributions are too large to be stored accurately, maintaining compact and accurate summarized information about underlying data is of crucial important. The summarizing problem for Level 1 (disjoint and non-disjoint) topological relationship has been well studied for the past few years. Ho

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Brabec, František. "Optimizing client-server communication for remote spatial database access." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/3087.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.<br>Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.

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Valdivia, Martinez Angélica. "Implementing of G.I.S. spatial operations in a database system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1998. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape10/PQDD_0007/MQ44308.pdf.

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Più fonti

Libri sul tema "Spatial database"

1

Yeung, Albert K. W., and G. Brent Hall, eds. Spatial Database Systems. Springer Netherlands, 2007. http://dx.doi.org/10.1007/1-4020-5392-4.

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2

Institute, Environmental Systems Research, ed. Spatial Database Engine (SDE). Environmental Systems Research Institute, 1996.

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3

Ploix, R. A. H. Database of qualitative spatial information. UMIST, 1997.

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4

Schneider, Markus, ed. Spatial Data Types for Database Systems. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/bfb0028319.

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5

Mamoulis, Nikos. Spatial data management. Morgan & Claypool, 2012.

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Urbano, Ferdinando, and Francesca Cagnacci, eds. Spatial Database for GPS Wildlife Tracking Data. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-03743-1.

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Harold, Moellering, and International Cartographic Association, eds. Spatial database transfer standards: Current international status. Published on behalf of the International Cartographic Association by Elsevier Applied Science, 1991.

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Rigaux, Philippe. Spatial databases: With application to GIS. Morgan Kaufmann Publishers, 2002.

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1943-, Scholl Michel O., and Voisard Agnes, eds. Spatial databases: With applications to GIS. Morgan Kaufmann Publishers, 2002.

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Symposium SSD (1st 1989 Santa Barbara, Calif.). Design and implementation of large spatial databases. Springer-Verlag, 1990.

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Capitoli di libri sul tema "Spatial database"

1

Bertino, Elisa, Beng Chin Ooi, Ron Sacks-Davis, et al. "Spatial Databases." In Indexing Techniques for Advanced Database Systems. Springer US, 1997. http://dx.doi.org/10.1007/978-1-4615-6227-6_2.

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Kalnis, Panos, and Gabriel Ghinita. "Spatial Anonymity." In Encyclopedia of Database Systems. Springer New York, 2016. http://dx.doi.org/10.1007/978-1-4899-7993-3_352-2.

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Mamoulis, Nikos. "Spatial Join." In Encyclopedia of Database Systems. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4899-7993-3_356-2.

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Vaisman, Alejandro A., and Esteban Zimányi. "Spatial Datawarehousing." In Encyclopedia of Database Systems. Springer New York, 2017. http://dx.doi.org/10.1007/978-1-4899-7993-3_80810-1.

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Kalnis, Panos, and Gabriel Ghinita. "Spatial Anonymity." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_352.

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Mamoulis, Nikos. "Spatial Join." In Encyclopedia of Database Systems. Springer US, 2009. http://dx.doi.org/10.1007/978-0-387-39940-9_356.

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Kalnis, Panos, and Gabriel Ghinita. "Spatial Anonymity." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_352.

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Mamoulis, Nikos. "Spatial Join." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_356.

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Vaisman, Alejandro A., and Esteban Zimányi. "Spatial Datawarehousing." In Encyclopedia of Database Systems. Springer New York, 2018. http://dx.doi.org/10.1007/978-1-4614-8265-9_80810.

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Manolopoulos, Yannis, Yannis Theodoridis, and Vassilis J. Tsotras. "Spatial Access Methods." In Advanced Database Indexing. Springer US, 2000. http://dx.doi.org/10.1007/978-1-4419-8590-3_6.

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Atti di convegni sul tema "Spatial database"

1

Wu, Mengquan, Wuihong Cui, Xiaodong Yang, and Yongqi Huang. "Research of spatial database based on spatial database engine." In Geoinformatics 2007, edited by Jingming Chen and Yingxia Pu. SPIE, 2007. http://dx.doi.org/10.1117/12.760458.

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Zhu, Hongmei, and Yu Luo. "Spatial-temporal database model based on geodatabase." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838541.

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Yan, Xun, Rongguo Chen, Changxiu Cheng, and Xiaobo Peng. "Spatial query processing engine in spatially enabled database." In 2010 18th International Conference on Geoinformatics. IEEE, 2010. http://dx.doi.org/10.1109/geoinformatics.2010.5567750.

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Zhang, Hongxia, and Falah H. Abed. "Development of a GIS database for Iraqi marshlands ecosystem studies." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.837948.

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Jeang-Kuo Chen. "Concurrency control of spatial join on spatial database." In Fourth Annual ACIS International Conference on Computer and Information Science (ICIS'05). IEEE, 2005. http://dx.doi.org/10.1109/icis.2005.39.

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Hasan, Ahmad, Ashraf Qadir, Ian Nordeng, and Jeremiah Neubert. "Construction Inspection through Spatial Database." In 34th International Symposium on Automation and Robotics in Construction. Tribun EU, s.r.o., Brno, 2017. http://dx.doi.org/10.22260/isarc2017/0118.

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Yan Zhou, Qing Zhu, and Yeting Zhang. "Spatial data declustering method considering spatial locality for parallel spatial database." In 2010 Second IITA International Conference on Geoscience and Remote Sensing (IITA-GRS 2010). IEEE, 2010. http://dx.doi.org/10.1109/iita-grs.2010.5603280.

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Wang, Hong, Shanwu Su, Yuxiang Li, and Ronghua Yu. "Measuring the amount of information of national topographic database based on entropy." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838012.

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Tang, Jing, and Tao Liu. "An improved trajectory query on moving objects in a spatio-temporal database." In International Symposium on Spatial Analysis, Spatial-temporal Data Modeling, and Data Mining, edited by Yaolin Liu and Xinming Tang. SPIE, 2009. http://dx.doi.org/10.1117/12.838061.

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Pintor, Paulo Sérgio, Rogério Luís De Costa, and José Manuel Moreira. "Provenance in Spatial Queries." In IDEAS'22: International Database Engineered Applications Symposium. ACM, 2022. http://dx.doi.org/10.1145/3548785.3548802.

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Rapporti di organizzazioni sul tema "Spatial database"

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Gudivada, V. N., Vijay V. Raghavan, and Dwayne Carr. A Spatial Similarity Measure for Image Database Applications. Defense Technical Information Center, 1992. http://dx.doi.org/10.21236/ada253570.

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Cobb, Maria. Object-Oriented Distributed Database Design and Spatial Data Modeling. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada407824.

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Baldos, Uris Lantz. Development of GTAP 9 Land Use and Land Cover Data Base for years 2004, 2007 and 2011. GTAP Research Memoranda, 2017. http://dx.doi.org/10.21642/gtap.rm30.

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Understanding the challenges of achieving environmental sustainability goals given future demand for food, fiber and fuel requires economic models and databases that incorporate spatially explicit information on land use and land cover (LULC). The GTAP LULC database and its variants have been extensively used in a wide variety of applications aimed at examining the land-environment-energy nexus. Looking back the development of the first GTAP LULC was no simple task as it required the expertise of several researchers to identify and process relevant geospatial information. And because of this,

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Rishe, Naphtali, David Barton, and Mario Sanchez. Storage and Visualization of Spatial Data in a High-Performance Semantic Database System. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada308598.

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Oliver, David V., Roy V. Ladner, Frank P. McCreedy, and Ruth A. Wilson. Efficient Storage of Large Volume Spatial and Temporal Point-Data in an Object-Oriented Database. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada406876.

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Trevor, Budge J., and Nichols E. William. Compilation of Site Names and Spatial Extents for Sites in the Hanford Site Disposition Database. Office of Scientific and Technical Information (OSTI), 2020. http://dx.doi.org/10.2172/1635015.

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Ringo, Chris, Alan A. Ager, Michelle A. Day, and Sarah Crim. A spatial database for restoration management capability on national forests in the Pacific Northwest USA. U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station, 2016. http://dx.doi.org/10.2737/pnw-gtr-919.

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Mayne, Casey, David May, and David Biedenharn. Empirical analysis of effects of dike systems on channel morphology and flowlines. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/39799.

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A phased study of the dike fields within the Vicksburg and Memphis Districts of the US Army Corps of Engineers was conducted to document the channel morphology trends since dike construction on the Lower Mississippi River (LMR). This included the development of the hydrographic survey database and methodology utilized to identify changes in channel geometry in response to dike construction. A subsequent report will provide further refinements to the approach and results of the comprehensive assessment. Recent Mississippi River Geomorphology and Potamology program efforts have employed the data

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Zhang, Renduo, and David Russo. Scale-dependency and spatial variability of soil hydraulic properties. United States Department of Agriculture, 2004. http://dx.doi.org/10.32747/2004.7587220.bard.

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Water resources assessment and protection requires quantitative descriptions of field-scale water flow and contaminant transport through the subsurface, which, in turn, require reliable information about soil hydraulic properties. However, much is still unknown concerning hydraulic properties and flow behavior in heterogeneous soils. Especially, relationships of hydraulic properties changing with measured scales are poorly understood. Soil hydraulic properties are usually measured at a small scale and used for quantifying flow and transport in large scales, which causes misleading results. The

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Gandhi, Vijay, James Kang, and Shashi Shekhar. Spatial Databases. Defense Technical Information Center, 2007. http://dx.doi.org/10.21236/ada473104.

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