Academic literature on the topic 'Spatial Database and GIS'

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Journal articles on the topic "Spatial Database and GIS"

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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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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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Sun, Yun Peng. "Spatial Data Topology in GIS Database." Advanced Materials Research 433-440 (January 2012): 3858–62. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.3858.

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Topology and its various benefits and functionality are fairly well understood within the context of 2D Geographical Information Systems. We summarize the principle of common 2D topology and the implementation of GIS databases. Existing topological frameworks and data models as a staring point to guide the review process, three key areas were studied for the purposes of requirements identification, namely existing 2D topological systems. However requirements in 3D have yet to be defined, with factors such as lack of familiarity with the potential of such functionality of 3D systems impeding th
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Ren, Ze, and Rui Meng. "The Design of Earthquake Engineering Spatial Database Based on GIS Platform." Applied Mechanics and Materials 88-89 (August 2011): 160–64. http://dx.doi.org/10.4028/www.scientific.net/amm.88-89.160.

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GIS (Geographic Information System) is a powerful tool for handling spatial information, and a set of safe and efficient information spatial database is essential for a complete earthquake engineering GIS platform. This article introduces an established method and basic composition for the GIS-platform-based earthquake engineering spatial database.
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Ahmed, Zakaria Yehia. "Quality Management in GIS." International Journal of Applied Mathematics, Computational Science and Systems Engineering 5 (October 17, 2023): 138–44. http://dx.doi.org/10.37394/232026.2023.5.12.

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This paper centers on the crucial elements of quality control (QC) and quality assurance (QA) in the domain of geographic information systems (GIS). A dependable and resilient GIS database is at the core of any spatial system, and it is of utmost significance across a wide range of fields, including Hajj, Umrah, tourism, real estate, and natural resource management. Given the inherent intricacy of spatial databases and their requirement for specialized technical upkeep, applications that depend on them also necessitate specialized technical expertise. To address inconsistencies within the data
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Istiyanto, Bambang, Yan El Rizal Unzilatirrizqi D, Mouli De Rizka Dewantoro, and Rahmat Ahmad. "Geographic Information System (GIS-T) database design for transportation safety system (case study: spatial database for road transportation system in Indonesia)." IOP Conference Series: Earth and Environmental Science 1117, no. 1 (2022): 012023. http://dx.doi.org/10.1088/1755-1315/1117/1/012023.

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Abstract This study aimed to develop a spatial database design on transportation safety system. Spatial databases is a fundamental factor that is very important in the utilization of GIS for transportation, so it is important that a good preparation of spatial databases. Preparation of spatial database will be effective if tailored to the needs. Factors affecting transportation safety is different from one region to another. Factors that affect transportation safety system in an area can be influenced by the transportation system infrastructure in the area. Database design for transportation s
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Ďuračiová, R. "Querying Uncertain Data in Geospatial Object-relational Databases Using SQL and Fuzzy Sets." Slovak Journal of Civil Engineering 21, no. 4 (2013): 1–12. http://dx.doi.org/10.2478/sjce-2013-0016.

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Abstract This paper deals with uncertainty modeling in spatial object-relational databases by the use of Structured Query Language (SQL). The fundamental principles of uncertainty modeling by fuzzy sets are applied in the area of geographic information systems (GIS) and spatial databases. A spatial database system includes types of spatial data and implements the spatial extension of SQL. The implementation of the principles of fuzzy logic to spatial databases brings an opportunity for the efficient processing of uncertain data, which is important, especially when using various data sources (e
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Gotlib, Dariusz, and Miłosz Gnat. "SPATIAL DATABASE MODELING FOR INDOOR NAVIGATION SYSTEMS." Reports on Geodesy and Geoinformatics 95, no. 1 (2013): 49–63. http://dx.doi.org/10.2478/rgg-2013-0012.

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Abstract For many years, cartographers are involved in designing GIS and navigation systems. Most GIS applications use the outdoor data. Increasingly, similar applications are used inside buildings. Therefore it is important to find the proper model of indoor spatial database. The development of indoor navigation systems should utilize advanced teleinformation, geoinformatics, geodetic and cartographical knowledge. The authors present the fundamental requirements for the indoor data model for navigation purposes. Presenting some of the solutions adopted in the world they emphasize that navigat
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Kostadinova, Sofia, Boris Markov, and Nikolay Petrov. "Simple queries - Simple answers. First steps in the spatial databases." Journal of the Bulgarian Geographical Society 39 (November 13, 2018): 83–87. https://doi.org/10.3897/jbgs.2018.39.16.

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Все по-голямото прилагане на географските информационни системи води до натрупване на информация, която налага нейната систематизация и подредба във вид подходящ за многократно ползване. Пространствените бази данни са мощен инструмент, който освен съхранение на данните в подреден вид, позволява различни потребители да извличат информация полезна за взимането на решенияи решаване на проблеми, планиране и др.
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DR., P. G. KHOT, and SRIVAS SANJAY. "INTRODUCTION OF SPATIAL DATABASE SPATIAL DATA TYPES, SPATIAL INDEXING, GEOGRAPHIC INFORMATION SYSTEMS GIS & QUERY STRUCTURE." JournalNX - A Multidisciplinary Peer Reviewed Journal ICACTM (May 4, 2018): 137–42. https://doi.org/10.5281/zenodo.1410205.

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 This paper covers the overview of Spatial Database System which offers Spatial Data Structure along with the Spatial Datatypes. It is most commonly used in Geographic Information Systems (GIS) and other applications. Many applications operate on spatial data which include lines, points, regions and polygons etc. Spatial data are large in size and complex in structure and relationship hence spatial indexes are required to retrieve the desired result-set from the large dataset in optimum timeframe https://journalnx.com/journal-article/20150676
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Dissertations / Theses on the topic "Spatial Database and GIS"

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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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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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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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Gunadasa, Ankumbure Dewayalage. "Spatial database integration, a GIS approach, a case study from Colombo, Sri Lanka." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape9/PQDD_0022/NQ39534.pdf.

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Hedefalk, Finn. "Robustness of Spatial Databases: Using Network Analysis on GIS Data Models." Thesis, University of Gävle, Department of Technology and Built Environment, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-6625.

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<p>Demands on the quality and reliability of Volunteered Geographic Information have increased because of its rising popularity. Due to the less controlled data entry, there is a risk that people provide false or inaccurate information to the database. One factor that affects the effect of such updates is the network structure of the database schema, which might reveal the database’s robustness against different kinds of false updates. Therefore, network analyses are needed. The aim is to analyse GIS data models, stored in UML class diagrams, for scale-free and small-world properties. Moreover
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Kanani, Saleh. "A method to evaluate database management systems for Big Data : focus on spatial data." Thesis, Luleå tekniska universitet, Datavetenskap, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-74172.

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Big data of type spatial is growing exponentially with the highest rate due to extensive growth in usage of sensors, IoT and mobile devices’ spatial data generation, therefore maintaining, processing and using such data efficiently, effectively with high performance has become one of the top priorities for Database management system providers, hence spatial database features and datatypes have become serious criteria in evaluating database management systems that are supposed to work as the back-end for spatial applications and services. With exponential growth of data and introducing of new t
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Mangiameli, Michele. "Navigation systems for autonomous robots based on open source gis technologies." Doctoral thesis, Università di Catania, 2013. http://hdl.handle.net/10761/1302.

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Man has always dreamed of building artificial beings, which take over tedious or dangerous tasks, with abilities of entertainment and subject to human commands. In everyday language, these artificial beings are called robots . Robots are characterized for the capability to act in the environment using a mechanical locomotion system and to interact with the objects present in the environment using a handling system , or a perceptive capacity to measure parameters relating to their internal state using proprioceptive sensors, and to measure external parameters, using exteroceptive sensors, and
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Szarmes, Michael C. "Modeling the evolution of spatio-temporal database structures for GIS applications." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq20885.pdf.

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Costa, Sérgio Souza. "Integration of functional programming and spatial databases for GIS application development." Instituto Nacional de Pesquisas Espaciais, 2006. http://urlib.net/sid.inpe.br/MTC-m13@80/2006/12.15.17.07.

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A pesquisa recente em geoinformação indica que há benefícios no uso de programação funcional aplicada ao desenvolvimento de aplicativos geográficos. No entanto, o desenvolvimento completo de um sistema de geoinformação em linguagem funcional não é factível. O acesso a banco de dados geográfico exige um grande conjunto de operações de entrada e saída, de difícil implementação em linguagens funcionais. Essa dissertação apresenta um aplicativo que integra uma linguagem funcional (Haskell) com banco de dados espacial (TerraLib). Esta integração permite o desenvolvimento, em uma linguagem funcional
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Sebake, Malete Daniel. "Assessing the motivators and barriers of interorganizational GIS data sharing for address data in South Africa." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/24514.

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Address data within geographic information systems (GIS) is used as reference data to link personal and administrative information, thus making it possible to locate and deliver goods and services to eligible persons. Preferably, every country must develop and maintain a single national address database (NAD) to eliminate data redundancy and provide a common point of reference across the board. In South Africa, the challenge is that there are separate address databases, which are developed and maintained by various public and private organizations – with little or no cooperation on data sharin
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ARCO, EMERE. "Geomatics for Mobility Management. A comprehensive database model for Mobility Management." Doctoral thesis, Politecnico di Torino, 2018. http://hdl.handle.net/11583/2711582.

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In urban and metropolitan context, Traffic Operations Centres (TOCs) use technologies as Geographic Information Systems (GIS) and Intelligent Transport Systems (ITS) to tackling urban mobility issue. Usually in TOCs, various isolated systems are maintained in parallel (stored in different databases), and data comes from different sources: a challenge in transport management is to transfer disparate data into a unified data management system that preserves access to legacy data, allowing multi-thematic analysis. This need of integration between systems is important for a wise policy decisions.
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Books on the topic "Spatial Database and GIS"

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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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1945-, Okabe Atsuyuki, ed. GIS-based studies in the humanities and social sciences. Taylor and Francis, 2005.

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International Workshop ISD'99 (1999 Portland, Me.). Integrated spatial databases: Digital images and GIS : International Workshop ISD '99, Portland, ME, USA, June 1999 : selected papers. Springer, 1999.

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International Conference on Information Systems and Development: Methods and Tools, Theory and Practice (1999 Portland, Me.). Integrated spatial databases: Digital images and GIS : International Workshops ISD '99, Portland, ME, USA, June 1999 : selected papers. Springer, 1999.

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Stewart, Fotheringham A., Rogerson Peter, and National Center for Geographic Information & Analysis (U.S.), eds. Spatial analysis and GIS. Taylor & Francis, 1994.

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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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Stillwell, John, and Graham Clarke, eds. Applied GIS and Spatial Analysis. John Wiley & Sons, Ltd, 2003. http://dx.doi.org/10.1002/0470871334.

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G, Green David. Online GIS and spatial metadata. Taylor & Francis, 2002.

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1960-, Clarke Graham, and Stillwell, John C. H. 1952-, eds. Applied GIS and spatial analysis. Wiley, 2004.

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Book chapters on the topic "Spatial Database and GIS"

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Revesz, Peter. "MLPQ Spatial Constraint Database System." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_790.

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Revesz, Peter Z. "MLPQ Spatial Constraint Database System." In Encyclopedia of GIS. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-23519-6_790-3.

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Revesz, Peter Z. "MLPQ Spatial Constraint Database System." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_790.

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Wang, Cheng-Hua, Huiling Gong, Betsy George, and Chuck Freiwald. "Spatial Network Database and Routing in Oracle Spatial." In Encyclopedia of GIS. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23519-6_1529-1.

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Wang, Cheng-Hua, Huiling Gong, Betsy George, and Chuck Freiwald. "Spatial Network Database and Routing in Oracle Spatial." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_1529.

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Newell, Dick. "Perspectives in GIS database architecture." In Advances in Spatial Databases. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63238-7_40.

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Revesz, Peter Z. "Constraint Databases, Spatial." In Encyclopedia of GIS. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-23519-6_190-3.

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Revesz, Peter Z. "Constraint Databases, Spatial." In Encyclopedia of GIS. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-17885-1_190.

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Shekhar, Shashi, and Hui Xiong. "Spatial Network Databases." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_1286.

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Revesz, Peter. "Constraint Databases, Spatial." In Encyclopedia of GIS. Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_190.

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Conference papers on the topic "Spatial Database and GIS"

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Thongley and Younten Tshering. "Digital Landslide Risk Mapping and Landslide Database for Bhutan Through Mobile App for Bhutan." In 2024 Geoinformatics for Spatial-Infrastructure Development in Earth and Allied Sciences (GIS-IDEAS). IEEE, 2024. https://doi.org/10.1109/gis-ideas63212.2024.10991118.

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Chansury, Woranut, Nuntikron Kitratporn, Anusorn Rungsipanich, et al. "The Development of Satellite-based Active Fire Database and Hotspot Clustering to Enhance Forest Fire Management Practices in Thailand." In 2024 Geoinformatics for Spatial-Infrastructure Development in Earth and Allied Sciences (GIS-IDEAS). IEEE, 2024. https://doi.org/10.1109/gis-ideas63212.2024.10991155.

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Kowalski, Mikolaj, and Lukasz Ortyl. "INTEGRATING GEODETIC UNDERGROUND UTILITY DATASETS WITH BIM: IFC 4.3 FOR IMPROVED STRUCTURAL DESIGN IN POLAND." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024/2.1/s08.16.

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Numerous studies have examined the potential integration of Building Information Modeling (BIM) with Geographic Information Systems (GIS), typically focusing on simplifying complex BIM data for presentation within a GIS environment. However, there is a unique circumstance with extensive geodetic databases that remain untapped in construction processes in Poland. The emergence of the more applicable IFC format version 4.3, particularly relevant to surveying, presents an opportunity. The article proposes leveraging geodetic datasets, specifically underground utilities, to enhance BIM-based struc
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Bluszcz, A., K. Tobor-Osadnik, A. Manowska, and Marek Smetana. "FUNCTIONALITIES OF GEOINFORMATIC SYSTEMS IN CRISIS EVENTS CAUSED BY CLIMATE CHANGE." In 24th SGEM International Multidisciplinary Scientific GeoConference 2024. STEF92 Technology, 2024. https://doi.org/10.5593/sgem2024v/4.2/s18.28.

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As the climate changes, the EU is experiencing heavier rainfall, harsher storms and rising sea levels. According to the European Environment Agency (EEA), the consequences of fluvial, pluvial and coastal floods in Europe will overall worsen as a result of local and regional increases in intensity and frequency of flooding [1]. The article concerns the indication of the functionality of the available QGIS software in the identification of critical infrastructure objects in Poland and the Czech Republic along with the risk analysis. The research aims to showcase the capabilities of QGIS software
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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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Su, Ying, Lei Yang, and Zhanming Jin. "Evaluating Spatial Data Quality in GIS Database." In 2007 International Conference on Wireless Communications, Networking and Mobile Computing. IEEE, 2007. http://dx.doi.org/10.1109/wicom.2007.1463.

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Liu, Xiaosheng, Xiaobin Huang, and Zhiyong Zhao. "Research on GIS Spatial Database Based on Grid Computing." In 2009 WRI International Conference on Communications and Mobile Computing (CMC). IEEE, 2009. http://dx.doi.org/10.1109/cmc.2009.251.

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Miao, Lei, Xiaofang Wu, Kun Wang, and Yu Nong. "Application GIS on university planning: building a spatial database aided spatial decision." In Geoinformatics 2007, edited by Peng Gong and Yongxue Liu. SPIE, 2007. http://dx.doi.org/10.1117/12.765535.

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Ma, Jie, Yan Li, and Xuemin Dong. "A spatial indexing system for visualizing database." In Geoinformatics 2008 and Joint Conference on GIS and Built environment: Advanced Spatial Data Models and Analyses, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2009. http://dx.doi.org/10.1117/12.813119.

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Wu, Wen-bo, and Yuan-yuan Bing. "DOM database based on ArcSDE." In Geoinformatics 2008 and Joint Conference on GIS and Built environment: Advanced Spatial Data Models and Analyses, edited by Lin Liu, Xia Li, Kai Liu, and Xinchang Zhang. SPIE, 2009. http://dx.doi.org/10.1117/12.813102.

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Reports on the topic "Spatial Database and GIS"

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Raja, Rameez Ali, Vidushi Toshniwal, and Rodrigo Salgado. GIS-Based Geotechnical Database for Collaborative GIS. Purdue University, 2023. http://dx.doi.org/10.5703/1288284317637.

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INDOT spends at least 8 million dollars annually on geotechnical site investigations, not including the amounts spent by contractors. The laborious and costly job of data collection in geotechnical practice requires the efficient storing and organizing of this valuable data to develop correlations and trends in spatially varying geotechnical data. INDOT currently uses gINT software for managing geotechnical data and ArcGIS for storing boring logs and geotechnical reports. The INDOT geotechnical office is pursuing means to improve the efficiency of their operations by developing a GIS-based geo
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Gibbs, Holly, Sahoko Yui, and Richard Plevin. New Estimates of Soil and Biomass Carbon Stocks for Global Economic Models. GTAP Technical Paper, 2014. http://dx.doi.org/10.21642/gtap.tp33.

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We synthesized a range of geographically-explicit forest, grassland and cropland biomass and soil carbon input data sources and used geographic information systems (GIS) software to calculate new estimates of soil and biomass carbon stocks for use with global economic models, particularly for the Global Trade and Analysis Project (GTAP). Our results quantify the average amount of carbon stored in soil and biomass in each of the 246 countries, stratified by agro-ecological zones (available in the accompanying spreadsheet). We also provide the data aggregated to the 134 regions defined for the G
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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, et al. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Al
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Callaghan, Caitlin, Matthew Bigl, Brandon Booker, et al. Energy Atlas—mapping energy-related data for DoD lands in Alaska : Phase 1—assembling the data and designing the tool. Engineer Research and Development Center (U.S.), 2021. http://dx.doi.org/10.21079/11681/42226.

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The U.S. Army is the largest Department of Defense (DoD) land user in Alaska, including remote areas only accessible by air, water, or wintertime ice roads. Understanding where energy resources and related infrastructure exist on and adjacent to DoD installations and training lands can help in-form Army decision-makers, especially in remote locations like Alaska. The Energy Atlas–Alaska provides a value-added resource to support decision-making for investments in infrastructure and diligent energy management, helping Army installations become more resilient and sustainable. The Energy Atlas–Al
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Shrestha, B., and S. Pradhan. Kathmandu Valley GIS Database: Bridging the Data Gap. International Centre for Integrated Mountain Development (ICIMOD), 2000. http://dx.doi.org/10.53055/icimod.352.

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Shrestha, B., and S. Pradhan. Kathmandu Valley GIS Database: Bridging the Data Gap. International Centre for Integrated Mountain Development (ICIMOD), 2000. http://dx.doi.org/10.53055/icimod.352.

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Bearman, Nick. Introduction to Spatial Data and R as a GIS. Instats Inc., 2024. http://dx.doi.org/10.61700/u8xkcre05j43v1726.

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Abstract:
This two half-day seminar provides a comprehensive introduction to using R as a GIS tool for spatial data analysis, focusing on importing, managing, processing, and visualizing spatial data. Participants will acquire essential skills to conduct sophisticated spatial analyses and produce complex maps, significantly enhancing their research projects.
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Wright, D. F., L. D. Kemp, and W. D. Goodfellow. EXTECH II GIS geoscience database, Bathurst Camp, New Brunswick. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1998. http://dx.doi.org/10.4095/210114.

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Panagapko, D. A., J. R. Harris, L. Valade, and J. A. Ayer. Regional GIS database for the Abitibi Greenstone Belt, Ontario. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2002. http://dx.doi.org/10.4095/213320.

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Wright, D. F., D. Irwin, and J. L. Buckle. EXTECH III; Yellowknife greenstone belt, project update and GIS database. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 2001. http://dx.doi.org/10.4095/212107.

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