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Li, H., W. Huang, Z. Zha, and J. Yang. "APPLICATION AND PLATFORM DESIGN OF GEOSPATIAL BIG DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 293–300. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-293-2021.

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Abstract. With the wide application of Big Data, Artificial Intelligence and Internet of Things in geographic information technology and industry, geospatial big data arises at the historic moment. In addition to the traditional "5V" characteristics of big data, which are Volume, Velocity, Variety, Veracity and Valuable, geospatial big data also has the characteristics of "Location Attribute". At present, the study of geospatial big data are mainly concentrated in: knowledge mining and discovery of geospatial data, Spatiotemporal big data mining, the impact of geospatial big data on visualizat
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Guo, Dongming, and Erling Onstein. "State-of-the-Art Geospatial Information Processing in NoSQL Databases." ISPRS International Journal of Geo-Information 9, no. 5 (2020): 331. http://dx.doi.org/10.3390/ijgi9050331.

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Geospatial information has been indispensable for many application fields, including traffic planning, urban planning, and energy management. Geospatial data are mainly stored in relational databases that have been developed over several decades, and most geographic information applications are desktop applications. With the arrival of big data, geospatial information applications are also being modified into, e.g., mobile platforms and Geospatial Web Services, which require changeable data schemas, faster query response times, and more flexible scalability than traditional spatial relational
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Zhai, Zhaokun, Yin Gao, Jianjun Liu, Jianwei Liu, and Jian Che. "Database Construction and Application of Large-scale Geospatial Data." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 563–69. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-563-2024.

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Abstract. Geospatial data refers to data that related to spatial location. It is the abstract representation of objects, events, or other characteristic information located on or near the surface of the Earth. It characterizes attribute features, spatial features, and associated information of geospatial features. Geospatial data commonly include various data types such as point, polyline, polygon, and so on. Geospatial database is the basic method to store and manage geospatial data. It is also the important component of geographic information systems (GIS). Geospatial database generally stor
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Sanyasi Naidu, Dadi. "Cyber Security Implementation for Application of Geospatial Data." Journal of Switching Hub 8, no. 3 (2023): 1–8. http://dx.doi.org/10.46610/josh.2023.v08i03.001.

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Geospatial information is often seen as just being connected with guides, compasses, and areas. In any case, the application areas of geospatial information are far more extensive and even stretch out to the field of network safety. In addition to the fact that there is a capacity to show focal points and rising network traffic conditions, however, geospatial information likewise can display cybercrime development designs and demonstrate impacted regions as well as the rise of sort of digital dangers. Geospatial information can take care of knowledge frameworks, assist with investigation, and
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ZU, Shimao, and Shuangqing SHENG. "Book Review of Learning Geospatial Analysis with Python(Second Edition)." Chinese Computer Sciences Review 3, no. 1 (2025): 1–5. https://doi.org/10.48014/ccsr.20250303001.

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“Learning Geospatial Analysis with Python (Second Edition) ”, authored by Joel Lawhead, was published by Posts & Telecom Press in April 2017. This book comprehensively elaborates on the application of Python in geospatial analysis, with systematic and comprehensive content. It begins by introducing the fundamental concepts of geospatial analysis, its historical development, and its connections with related fields such as Geographic Information Systems (GIS) and remote sensing. Subsequently, it delves into various aspects of geospatial data, including key content such as data formats, struc
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Changmai, Sukalpa. "Geospatial Application for Dairy Supply Chain Management." Journal of Geomatics 17, no. 2 (2023): 57–66. http://dx.doi.org/10.58825/jog.2023.17.2.63.

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The broad availability of geospatial data has changed how we think about solving problems. There are numerous uses for GIS and Remote Sensing in a variety of fields. Such a field includes Supply Chain Management where GIS is used to map various stages like producers, consumers, processing facilities, suppliers, distribution centres, and transportation routes for better decision making and enhanced flow of goods. In this study we are integrating geospatial technologies to map raw material source, routes taken for the delivery of processed items, areas served by a processing unit and finally mod
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Ussenov, Nurbol, Shakhislam Laiskhanov, Yerlan Issakov, Duman Aliaskarov, and Yerzhan Abikbayev. "Geoinformation technologies as a tool for developing geospatial thinking skills." Journal of Educational Sciences 80, no. 3 (2024): 186–99. http://dx.doi.org/10.26577/jes2024v80.i3.015.

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The use of geospatial technologies is becoming increasingly important in geography education, enabling activities such as spatial data retrieval, sampling, organised storage and transfer of necessary information. However, this process is very slow due to many obstacles that hinder the implementation of geospatial technologies in secondary education. Therefore, the purpose of this study was to analyse the current status of geospatial technologies in teaching geography in schools in Kazakhstan and to as-sess the potential of these technologies to develop students’ geospatial skills. The state of
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Le, Phuong-Phi. "Patient access to opioid substitution treatment pharmacy and medical service providers in South Australia: geospatial mapping." Australian Journal of Primary Health 25, no. 2 (2019): 125. http://dx.doi.org/10.1071/py18099.

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This cross-sectional study geospatially maps patient access to opioid substitution treatment (OST) pharmacy and medical providers in South Australia (SA), Australia. De-identified data from a total of 2935 public and private OST patients (1092 public cases and 1843 private cases) were included in the study. Geospatial mapping of OST patient locations, their dosing community pharmacy and prescriber was undertaken. The geospatial modelling methods used in this study presents an application whereby information about patient travel patterns to reach OST providers can be used as a tool for treatmen
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Lin, Dongqi, Jiawei Zhang, Basit Khan, Marwan Katurji, and Laura E. Revell. "GEO4PALM v1.1: an open-source geospatial data processing toolkit for the PALM model system." Geoscientific Model Development 17, no. 2 (2024): 815–45. http://dx.doi.org/10.5194/gmd-17-815-2024.

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Abstract. A geospatial data processing tool, GEO4PALM, has been developed to generate geospatial static input for the Parallelized Large-Eddy Simulation (PALM) model system. PALM is a community-driven large-eddy simulation model for atmospheric and environmental research. Throughout PALM's 20-year development, research interests have been increasing in its application to realistic conditions, especially for urban areas. For such applications, geospatial static input is essential. Although abundant geospatial data are accessible worldwide, geospatial data availability and quality are highly var
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Suci Harmelya, Syafri Anwar, Bigharta Bekti Susetyo, and Gusli Martini. "Persepsi Peserta Didik Terhadap Aplikasi Teknologi Geospasial Pada Pembelajaran Geografi Kelas X SMAN 1 Sungai Tarab." Journal of Mandalika Literature 5, no. 3 (2024): 280–92. http://dx.doi.org/10.36312/jml.v5i3.3214.

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The purpose of this study was to determine the perception of class X students at SMAN 1 Sungai Tarab towards Geospatial Technology Applications. Geospatial technology is a technology that measures, analyzes, and visualizes objects or events on earth. This research uses a qualitative descriptive approach. The selection of subjects in this study used a total random sampling method consisting of 255 class X students. The research data were collected using a semi-open questionnaire method with a google form consisting of 25 questions given the answer options yes, no, and others. The results showed
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Gao, Yin, Zhaokun Zhai, Bianli Zhao, Shiquan Zhao, and Hao Li. "A Spatiotemporal Empowerment Framework for China’s National 3D Mapping Program 3dRGLM." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4-2024 (October 21, 2024): 205–12. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-2024-205-2024.

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Abstract. China has launched a national 3D mapping program to build 3D Realistic geospatial Landscape Model (3dRGLm) over the whole country, covering both cities and countryside. The 3dRGLM is a digital description and representation of the real 3D geospatial spaces, and is defined as a new generation geospatial data product with 3D structures, realistic scenes, and geospatial entities. Such a national or local 3dRGLm will set up a digital 3D realistic geospatial space which can facilitate the vital connection with the real geospatial space, and will serve as a new generation of geospatial inf
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Kanivets, O., S. Khalikov, R. Viatkin, and I. Burvikov. "GEOSPATIAL DEVELOPMENT OF TERRITORIAL COMMUNITIES: THEORETICAL PROVISIONS." Municipal economy of cities 3, no. 184 (2024): 152–56. http://dx.doi.org/10.33042/2522-1809-2024-3-184-152-156.

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Determining the geospatial development of territorial communities is a relevant issue. For the formation of geospatial development of territorial communities, directions of creation and use of geodatabases and opportunities and application of modern geographic information systems are of particular importance. The research reached the aim regarding the substantiation of theoretical approaches to determining the geospatial development of territorial communities. In this context, the study achieved the following objectives: generalising theoretical provisions regarding the definition of the geosp
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Titanto, Mardityo Tulus, and Teduh Dirgahayu. "Google Maps-Based Geospatial Application Framework with Custom Layers Management." Applied Mechanics and Materials 513-517 (February 2014): 822–26. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.822.

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Web 2.0 technologies have offered interactive map services on the Internet. Google Maps is a map service that makes available its API (application programming interface) for developing Web-based geospatial applications. In such applications, layers are used to organise spatial data. Using layers, users can abstract from data that are irrelevant to their interest. However, Google Maps API has no direct support to the development of custom layers management. Developers have to design and implement such support in every application they develop. It makes the development processes less efficient a
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Chunchen Liu, Dayou Liu, and Shengsheng Wang. "A Fuzzy Geospatial Ontology Model and Its Application in Geospatial Semantic Retrieval." Journal of Convergence Information Technology 6, no. 6 (2011): 85–97. http://dx.doi.org/10.4156/jcit.vol6.issue6.10.

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Jung, Hyung-Sup, Saro Lee, and Biswajeet Pradhan. "Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations." Sustainability 12, no. 6 (2020): 2390. http://dx.doi.org/10.3390/su12062390.

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The Special Issue on “Sustainable Applications of Remote Sensing and Geospatial Information Systems to Earth Observations” is published. A total of 20 qualified papers are published in this Special Issue. The topics of the papers are the application of remote sensing and geospatial information systems to Earth observations in various fields such as (1) object change detection, (2) air pollution, (3) earthquakes, (4) landslides, (5) mining, (6) biomass, (7) groundwater, and (8) urban development using the techniques of remote sensing and geospatial information systems. More than 100 researchers
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Hswen, Yulin, Elad Yom-Tov, Vaidhy Murti, et al. "Covidseeker: A Geospatial Temporal Surveillance Tool." International Journal of Environmental Research and Public Health 19, no. 3 (2022): 1410. http://dx.doi.org/10.3390/ijerph19031410.

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Introduction: Geospatial temporal data derived from smartphones traditionally used for purposes of navigation may offer valuable information for public health surveillance and locational hot spotting. Our objective was to develop a web-based application, called Covidseeker, that captures continuous fine-grained geospatial temporal data from smartphones and leverages these data to study transmission patterns of COVID-19. Methods: This report describes the development of Covidseeker and the process by which it utilizes geospatial temporal data from smartphones and processes it into a usable form
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P., K. Garg. "Geospatial Technology for a Better Tomorrow." Journal of Geotechnical Studies (e-ISSN: 2581-9763) 5, no. 1 (2020): 1–14. https://doi.org/10.5281/zenodo.3676188.

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Geospatial technology refers to equipment and tools used to measure and analyze Earth's features. It includes photogrammetry, remote sensing, GPS, LiDAR, UAV, GIS etc., to collect digital data of objects. Geospatial technology is a multidisciplinary tool which has many useful applications in smart city, environmental science, healthcare, urban and rural landscapes and transportation. UAVs are now being used for many civilian applications. With the availability of high quality remote sensing images, GPS data, IoT sensors hardware’s and softwares, the technology is currently growing at
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Song, W. W., B. X. Jin, S. H. Li, X. Y. Wei, D. Li, and F. Hu. "BUILDING SPATIOTEMPORAL CLOUD PLATFORM FOR SUPPORTING GIS APPLICATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-4/W2 (July 10, 2015): 55–62. http://dx.doi.org/10.5194/isprsannals-ii-4-w2-55-2015.

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Traditional geospatial information platforms are built, managed and maintained by the geoinformation agencies. They integrate various geospatial data (such as DLG, DOM, DEM, gazetteers, and thematic data) to provide data analysis services for supporting government decision making. In the era of big data, it is challenging to address the data- and computing- intensive issues by traditional platforms. In this research, we propose to build a spatiotemporal cloud platform, which uses HDFS for managing image data, and MapReduce-based computing service and workflow for high performance geospatial an
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Pakdil, Mete Ercan, and Rahmi Nurhan Çelik. "Serverless Geospatial Data Processing Workflow System Design." ISPRS International Journal of Geo-Information 11, no. 1 (2021): 20. http://dx.doi.org/10.3390/ijgi11010020.

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Geospatial data and related technologies have become an increasingly important aspect of data analysis processes, with their prominent role in most of them. Serverless paradigm have become the most popular and frequently used technology within cloud computing. This paper reviews the serverless paradigm and examines how it could be leveraged for geospatial data processes by using open standards in the geospatial community. We propose a system design and architecture to handle complex geospatial data processing jobs with minimum human intervention and resource consumption using serverless techno
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Sun, Lei Gang, Jian Feng Liu, and Quan Hong Xu. "Research on the Spatial Query Technology of Geospatial Database." Applied Mechanics and Materials 571-572 (June 2014): 600–605. http://dx.doi.org/10.4028/www.scientific.net/amm.571-572.600.

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The application requirement of Geospatial data is increasing and complex as it is getting numerous as a result of furthering study on geosciences. Based on a deeply research on Oracle Spatial storage management mechanism, this paper proposed a method that applies the graph theory to domain of optimizing spatial query of massive geographical data, and established a geospatial data query model in order to settle a problem of lower spatial query efficiency in geospatial database. Combining with the practical applications, this paper did a conventional spatial query test and a spatial query based
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Lo, C. P. "The application of geospatial technology to urban morphological research." Urban Morphology 11, no. 2 (2007): 81–90. http://dx.doi.org/10.51347/jum.v11i2.3934.

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This paper reviews the development of geospatial technology in recent years and its use and potential use in urban morphology. Such technology has been enabled by the rapid advancement in computer technology in both hardware and software. Remote sensing, photogrammetry and GIS are particularly important and suitable for use in urban morphological research. The availability of geospatial data in digital form has facilitated town-plan analysis and metrological analysis. Three-dimensional GIS allows the form and function of a town or city to be realistically visualized. Urban simulation is also p
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Kirti, Vasdev. "Deep Learning for High-Resolution Geospatial Image Analysis." International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences 12, no. 6 (2024): 1–8. https://doi.org/10.5281/zenodo.14535586.

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Deep learning has emerged as a revolutionary approach for high-resolution geospatial image analysis, offering unprecedented capabilities in feature extraction, classification, segmentation, and change detection. This paper explores the application of deep learning techniques to geospatial data, focusing on methodologies, public datasets, challenges, and potential solutions. Furthermore, it provides a detailed workflow for implementing deep learning in geospatial image analysis and discusses advancements in leveraging convolutional neural networks (CNNs), recurrent neural networks (RNNs), and t
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Kirti, Vasdev. "Enhancing Network Security with GeoAI and Real-Time Intrusion Detection." International Journal on Science and Technology 16, no. 1 (2025): 1–8. https://doi.org/10.5281/zenodo.14802799.

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GeoAI (Geospatial Artificial Intelligence) combines geospatial data analysis with AI capabilities to enhance decision-making. Its application in network security offers a revolutionary approach to detecting and mitigating cyber threats. This paper explores the integration of GeoAI with real-time intrusion detection systems (IDS), discussing theoretical foundations, practical applications, and challenges. Case studies illustrate GeoAI’s role in identifying geographically contextualized cyber threats. We also examine the integration of machine learning, geospatial analytics, and real-time
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Breunig, Martin, Patrick Erik Bradley, Markus Jahn, et al. "Geospatial Data Management Research: Progress and Future Directions." ISPRS International Journal of Geo-Information 9, no. 2 (2020): 95. http://dx.doi.org/10.3390/ijgi9020095.

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Without geospatial data management, today’s challenges in big data applications such as earth observation, geographic information system/building information modeling (GIS/BIM) integration, and 3D/4D city planning cannot be solved. Furthermore, geospatial data management plays a connecting role between data acquisition, data modelling, data visualization, and data analysis. It enables the continuous availability of geospatial data and the replicability of geospatial data analysis. In the first part of this article, five milestones of geospatial data management research are presented that were
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Meng, X., Y. Deng, H. Li, L. Yao, and J. Shi. "Geo-spatial Service and Application based on National E-government Network Platform and Cloud." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 175–79. http://dx.doi.org/10.5194/isprsarchives-xl-4-175-2014.

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With the acceleration of China’s informatization process, our party and government take a substantive stride in advancing development and application of digital technology, which promotes the evolution of e-government and its informatization. Meanwhile, as a service mode based on innovative resources, cloud computing may connect huge pools together to provide a variety of IT services, and has become one relatively mature technical pattern with further studies and massive practical applications. Based on cloud computing technology and national e-government network platform, "National Natural Re
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Shafapourtehrany, Mahyat, Maryna Batur, Farzin Shabani, Biswajeet Pradhan, Bahareh Kalantar, and Haluk Özener. "A Comprehensive Review of Geospatial Technology Applications in Earthquake Preparedness, Emergency Management, and Damage Assessment." Remote Sensing 15, no. 7 (2023): 1939. http://dx.doi.org/10.3390/rs15071939.

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The level of destruction caused by an earthquake depends on a variety of factors, such as magnitude, duration, intensity, time of occurrence, and underlying geological features, which may be mitigated and reduced by the level of preparedness of risk management measures. Geospatial technologies offer a means by which earthquake occurrence can be predicted or foreshadowed; managed in terms of levels of preparation related to land use planning; availability of emergency shelters, medical resources, and food supplies; and assessment of damage and remedial priorities. This literature review paper s
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Jamal, Juhaida, Mohd Faisal Abdul Khanan, Ami Hassan Md Din, Hafiz Aminu Umar, and Mohd Mizan Mohammad Aslam. "A Systematic Review of The Recent Geospatial Approach in Addressing Spatially-Related Radicalism And Extremism Issues." International Journal of Built Environment and Sustainability 10, no. 3 (2023): 37–49. http://dx.doi.org/10.11113/ijbes.v10.n3.1112.

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This systematic review article focuses on the geospatial issues of radicalism and extremism. The scholar has intensified the application of geospatial in radicalism and extremism study to understand better the causes, patterns, and trends of the radicalism and extremism incidents. The advanced geospatial approach provides more spatio-temporal information on radicalism and extremism incidents'. It improves the conventional study method that only focuses on fundamentals and theory. Unfortunately, some geospatial issues from previous radicalism and extremism studies have been found. Hence, the pr
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Clementini, Eliseo, and Giampaolo Bellizzi. "A Geospatial Application Framework for Directional Relations." ISPRS International Journal of Geo-Information 8, no. 1 (2019): 33. http://dx.doi.org/10.3390/ijgi8010033.

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Geographic data analysis is based on the use of spatial relations as a means of selecting and processing geometric data associated with geographic features. Starting from 1990, topological relations have been recognized as fundamental criteria in geographic data processing, leaving out other kinds of spatial relations, such as directional relations. The latter ones, despite having quite an important role in geospatial applications, have been developed as theoretical models but very little implemented in systems. We refer in this paper to the 5-intersection model for expressing projective relat
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B. Owusu, Alex, Seth K. Afagbedzi, Delia A. Bandoh, et al. "Integration of multiple geospatial applications and intelligence for responding to COVID-19 in Ghana." Ghana Medical Journal 55, no. 2 (2021): 10–20. http://dx.doi.org/10.4314/gmj.v55i2s.3.

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Objective: We describe the use of integrated geospatial applications for the provision of access to timely and accurate data on samples, visualisation of Spatio-temporal patterns of cases and effective communication between field sample collectors, testing laboratories, Regional Health directors and Government Decision Makers.Design: This study describes how an integrated geospatial platform based on case location and intelligence was developed and used for effective COVID-19 response during the initial stages of COVID-19 in Ghana.Data Source: Collector for ArcGIS, ArcGIS Survey123Main outcome
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Wang, Li, Shuai Jun Dai, and Zai Jie Shi. "Design and Application of Land Resources Geospatial Information Database Logic Model." Applied Mechanics and Materials 543-547 (March 2014): 4156–60. http://dx.doi.org/10.4028/www.scientific.net/amm.543-547.4156.

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Modeling and Design of geospatial database logic model is one of the core elements of land and resources data management platform system. From the management of PublicPropertyGroup code tables, feature attributes PropertyTable management, LayerElement features management and theme maintenance management of these four aspects, this thesis was concerned of methods and steps of land resources geospatial information database logic model and a detailed description of its implementation and data from related tables. Thus, in this paper, a new land resource spatial database logical model design patte
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Mooney, P., and M. Minghini. "GEOSPATIAL DATA EXCHANGE USING BINARY DATA SERIALIZATION APPROACHES." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W1-2022 (August 6, 2022): 307–13. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w1-2022-307-2022.

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Abstract. In this paper we investigate the benefits of binary data serialization as a means of storing and sharing large amounts of geospatial data in an interoperable way. De-facto text-based exchange encodings typically exposed by modern Application Programming Interfaces (APIs), including eXtensible Markup Language (XML) and JavaScript Object Notation (JSON), are generally inefficient for an increasingly higher number of applications due to their inflated volumes of data, low speed and the high computational cost for parsing and processing. In this work we consider comparisons of JSON/Geosp
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Lebzak, E. V., and S. S. Yankelevich. "Geospatial knowledge in the spatial development of territories on the example of the forestry." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 27, no. 3 (2022): 123–33. http://dx.doi.org/10.33764/2411-1759-2022-27-3-123-133.

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The article considers the issue of applying geospatial knowledge in the spatial development of the ter-ritory on the example of the forestry. The aim of the study is to study the significance of geospatial knowledge for the spatial development of the territory. Based on literary sources, such concepts as spatial development of the territory, spatial knowledge, geospatial knowledge, geospatial knowledge base and infrastructure of geospatial knowledge are considered. The study of the application of geo-spatial knowledge and infrastructure of geospatial knowledge in spatial management is given. T
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Mahmoudi, Homeyra, Silvana Camboim, and Maria Antonia Brovelli. "Development of a Voice Virtual Assistant for the Geospatial Data Visualization Application on the Web." ISPRS International Journal of Geo-Information 12, no. 11 (2023): 441. http://dx.doi.org/10.3390/ijgi12110441.

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Voice assistants can elevate interaction in geospatial data web platforms. This research introduces a voice assistant in the BStreams platform and focuses on understanding user commands in the geospatial domain. We developed a specialised geospatial discourse framework through structured prototyping. A survey with 66 participants revealed prevalent English geospatial terminologies. Using ChatGPT, we found the term suggestions aligned with survey results, with a notable correlation (r = 0.81, p < 0.01) between the NPL model’s probability scores and term prevalence in survey data. Our study a
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Yu, Feiyan, Erik Champion, and David McMeekin. "Exploring Historical Australian Expeditions with Time-Layered Cultural Maps." ISPRS International Journal of Geo-Information 12, no. 3 (2023): 104. http://dx.doi.org/10.3390/ijgi12030104.

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The Australian Time Layered Cultural Map platform was created to help digital humanities scholars investigate how online geospatial tools could provide exemplars to their humanities colleagues on how historical collections and cultural data could be extended and re-examined with geospatial tools. The project discussed here investigated how Recogito/TMT could effectively extract spatial and temporal data from pure text-based historical information and generate time-layered interactive maps of that spatio-temporal data using accessible and user-friendly software. The target audience was humaniti
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Rajendram, K., and N. R. Patel. "Geospatial Application in Desertification Monitoring Rajasthan, India." International Journal of Research and Scientific Innovation 08, no. 03 (2021): 136–43. http://dx.doi.org/10.51244/ijrsi.2021.8309.

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Bhanu, Pratap Singh, Srivastava Pradeep, Trivedi Ayushi, and Singh Deepesh. "Application of Geospatial Techniques for Hydrological Modelling." International Journal of Multidisciplinary Research and Analysis 04, no. 02 (2021): 181–92. https://doi.org/10.47191/ijmra/v4-i2-12.

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Geospatial Applications offer a digital illustration of watershed physical characteristics utilized in hydrologic modeling. This paper sums up past endeavors and current patterns in use advanced package of land models and GIS to perform hydrologic investigations. Three strategies of geographic data storage are discussed: formation or grid, triangulated irregular network, and contour-based line networks. The machine, geographic, and hydrologic aspects of every data storage methodology are analyzed. The utilization of remotely perceived information in GIS and hydrologic modeling is reviewed. Bor
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Kuper, P. V., M. Breunig, M. Al-Doori, and A. Thomsen. "APPLICATION OF 3D SPATIO-TEMPORAL DATA MODELING, MANAGEMENT, AND ANALYSIS IN DB4GEO." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W1 (October 5, 2016): 163–70. http://dx.doi.org/10.5194/isprs-annals-iv-2-w1-163-2016.

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Many of today´s world wide challenges such as climate change, water supply and transport systems in cities or movements of crowds need spatio-temporal data to be examined in detail. Thus the number of examinations in 3D space dealing with geospatial objects moving in space and time or even changing their shapes in time will rapidly increase in the future. Prominent spatio-temporal applications are subsurface reservoir modeling, water supply after seawater desalination and the development of transport systems in mega cities. All of these applications generate large spatio-temporal data sets. Ho
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Menegon, Stefano, Alessandro Sarretta, Daniel Depellegrin, Giulio Farella, Chiara Venier, and Andrea Barbanti. "Tools4MSP: an open source software package to support Maritime Spatial Planning." PeerJ Computer Science 4 (October 1, 2018): e165. http://dx.doi.org/10.7717/peerj-cs.165.

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This paper presents the Tools4MSP software package, a Python-based Free and Open Source Software (FOSS) for geospatial analysis in support of Maritime Spatial Planning (MSP) and marine environmental management. The suite was initially developed within the ADRIPLAN data portal, that has been recently upgraded into the Tools4MSP Geoplatform (data.tools4msp.eu), an integrated web platform that supports MSP through the application of different tools, e.g., collaborative geospatial modelling of cumulative effects assessment (CEA) and marine use conflict (MUC) analysis. The package can be used as st
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Govardhan, Kuntala. "Analytics based on Govt. Land Information System (GLIS)." INTERNATIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 05 (2025): 1–9. https://doi.org/10.55041/ijsrem47622.

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Abstract—The Geoland Analyzer is an advanced geospatial data analysis platform designed to streamline land data visualization, analysis, and insights generation. This web-based application empowers users to upload geospatial datasets, including files like GeoJSON, CSV, or shapefiles, and visualize them interactively on dynamic maps. The platform provides comprehensive insights into land area distribution, vegetation coverage, population density, and environmental patterns. By integrating geospatial technologies with machine learning algorithms, Geoland Analyzer helps in analyzing land data for
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Williams, Kenton, Steven A. Sader, Christopher Pryor, and Frank Reed. "Application of Geospatial Technology to Monitor Forest Legacy Conservation Easements." Journal of Forestry 104, no. 2 (2006): 89–93. http://dx.doi.org/10.1093/jof/104.2.89.

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Abstract Remote sensing and other geospatial tools are being applied to monitor large working forest conservation easements and to assist office and field users to improve the efficiency of required monitoring. Two USDA-Forest Legacy Program conservation easements in northern New England are included as case studies to describe how to acquire geospatial data and apply these tools to monitor selected easement features. Much of the remote sensing and geographical information system (GIS) data are free or low cost and functional software capable of viewing, querying, and making measurements on im
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Korenets, O. "PROSPECTS OF USING NATIONAL GEOSPATIAL DATA INFRASTRUCTURE TO SOLVE MILITARY APPLICATION PROBLEMS." Visnyk Taras Shevchenko National University of Kyiv. Military-Special Sciences, no. 3 (47) (2021): 58–60. http://dx.doi.org/10.17721/1728-2217.2021.47.58-60.

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Current trends in the development and reform of the Armed Forces of Ukraine necessitate the involvement of geographic information technologies in the military sphere. Geoinformation support of troops is an important component in decision-making at all levels of military management and in solving military-applied tasks. At present, the urgent task is the creation, implementation and practical application of automated geographic information subsystems of troops, which can increase the efficiency and effectiveness of the tasks of topographic and navigational support of troops (forces) of the Arme
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Schumacher, Arne. "Honey, I shrunk the GIS: Developing scalable and lightweight geospatial software applications with microservices and containerization." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W13-2025 (July 11, 2025): 225–31. https://doi.org/10.5194/isprs-archives-xlviii-4-w13-2025-225-2025.

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Abstract. This paper presents a containerized and modular approach to developing a geospatial application using Docker and geospatial open source software. The system is designed to ingest, store, manage and visualize radiological measurement data within a portable and scalable framework. Core technologies include PostgreSQL with PostGIS for spatial data storage, GeoServer for OGC-compliant map services, Node.js for package dependencies and OpenLayers for web-based visualization. Each component is isolated in its own Docker container, promoting ease of deployment and maintainability. The archi
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Bachurina, I. A., V. N. Monayenko, N. V. Larionova, and A. V. Toporova. "OVERVIEW OF GIS-PLATFORMS TO DEVELOP GEOSPATIAL WEB APPLICATIONS BASED UPON THE ANALYSIS OF FUNCTIONALITIES AND APPLICABILITY IN THE CONTEXT OF THE SUSTAINABLE MANAGEMENT OF LAND RESOURCES AND WATER BODIES AT THE FORMER STS." NNC RK Bulletin, no. 1 (March 28, 2024): 96–103. http://dx.doi.org/10.52676/1729-7885-2024-1-96-103.

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The article addresses the basic tools for creating geospatial Web applications focusing on three key software products: ArcGIS Online, ArcGIS Experience Builder and ArcGIS Enterprise SDK. Functionalities have been analyzed and compared. This covers advantages and disadvantages of each platform in the context of developing a Web application for the sustainable management of land resources and water bodies at the former Semipalatinsk Test Site in areas planned to be released to the economic turnover. Findings provide a comprehensive insight into the choice of the best tool to efficiently work ou
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Hiestermann, J., and S. L. Ferreira. "CLOUD-BASED AGRICULTURAL SOLUTION: A CASE STUDY OF NEAR REAL-TIME REGIONAL AGRICULTURAL CROP GROWTH INFORMATION IN SOUTH AFRICA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W2 (November 15, 2017): 79–82. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w2-79-2017.

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Recent advances in cloud-based technology has led to the rapid increase of geospatial web-based applications. The combination of GIS and cloud-based solutions is revolutionizing product development in the geospatial industry and is facilitating accessibility to a wider range of users, planners and decision makers. Accessible through an internet browser, web applications are an effective and convenient method to disseminate information in multiple formats, and they provide an interface offering interactive access to geospatial data, real-time integration and data processing, and application spe
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Al-Husaini, Muhammad, Hen Hen Lukmana, and Farid Syah Fadillah. "Geospatial Customizing Convolutional Neural Network (CNN) Model Application for Stunting in Tasikmalaya, Indonesia." Semarak International Journal of Machine Learning 5, no. 1 (2025): 18–26. https://doi.org/10.37934/sijml.5.1.1826a.

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Stunting remains a persistent public health challenge, particularly in socio-economically diverse regions like Tasikmalaya, Indonesia. This study presents an innovative approach to predicting stunting hotspots by integrating geospatial and socio-economic data through a customizable Convolutional Neural Network (CNN) model. The model is designed with a dual-input architecture, processing geospatial raster data and structured variables simultaneously. Its flexibility allows users to modify key parameters, such as the number of layers, optimizer, batch size, learning rate, and geospatial focus ar
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Al-Husaini, Muhammad, Hen Hen Lukmana, Farid Syah Fadillah, and Muhammad Adryan Suryaman. "Geospatial Customizing Convolutional Neural Network (CNN) Model Application for Stunting in Tasikmalaya, Indonesia." Semarak International Journal of Machine Learning 5, no. 1 (2025): 18–26. https://doi.org/10.37934/sijml.5.1.1826.

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Stunting remains a persistent public health challenge, particularly in socio-economically diverse regions like Tasikmalaya, Indonesia. This study presents an innovative approach to predicting stunting hotspots by integrating geospatial and socio-economic data through a customizable Convolutional Neural Network (CNN) model. The model is designed with a dual-input architecture, processing geospatial raster data and structured variables simultaneously. Its flexibility allows users to modify key parameters, such as the number of layers, optimizer, batch size, learning rate, and geospatial focus ar
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Manggopa, Hiskia Kamang, Sondy Kumajas, Trudi Komansilan, and Johan Reimon Batmetan. "Storyboard Development for Geospatial e-Tourism Based Augmented Reality." International Journal of Information Technology and Education 1, no. 3 (2022): 56–70. http://dx.doi.org/10.62711/ijite.v1i3.59.

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One of the important factors in designing an e-tourism based on the mobile application is the ease of use. Some of the problems often encountered by e-tourism users include the complex nature of the application, making it difficult for users to navigate. To answer user needs related to the ease of display on the application, it is necessary to design a good interface using tools and methods that are fast but effective and efficient. In the initial cycle of user interface design, a storyboard is needed as an initial description of the display that will be made. The storyboard is used as a visua
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Acharya, Aditi, Biraj Kanti Mondal, Tuhin Bhadra, et al. "Geospatial Analysis of Geo-Ecotourism Site Suitability Using AHP and GIS for Sustainable and Resilient Tourism Planning in West Bengal, India." Sustainability 14, no. 4 (2022): 2422. http://dx.doi.org/10.3390/su14042422.

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The current study intended to geospatially analyze the potentiality and site suitability of geo-ecotourism in West Bengal, India. The state of West Bengal is a great platform for diverse tourism and has enormous potential to cultivate geo-ecotourism, as has come up in recent years. The current effort throws some valuable light on the possibility of turning the many geologically, geomorphologically and ecologically significant tourist spots of West Bengal into geo-ecotourism sites, aided with geospatial techniques. The study deals with the qualitative and quantitative investigation of the poten
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Prasaja, Ahmad Syukron, and Imam Arifa'illah Syaiful Huda. "GEOSPATIAL DASHBOARD FOR PROBLEM REPORTER IN JAMBI PROVINCE." JUSIM (Jurnal Sistem Informasi Musirawas) 8, no. 2 (2023): 144–51. http://dx.doi.org/10.32767/jusim.v8i2.2202.

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Community involvement in providing problem reports is essential to improving the quality of life in cities and villages. Jambi already has "SiKESAL" as a problem-reporting application in Jambi, but it has not been able to provide information on the spatial distribution of locations through a single dashboard display. This research aims to apply the Geospatial Dashboard application as a spatial-based problem-reporting application using ArcGIS technology from ESRI. Sampling as information on problem topics for the development of the Geospatial Dashboard includes road damage, availability of disa
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Jia, Wei Jie, Hong Rui Zhang, Jian Lin, and Hong Lei Zhao. "The Application of Remote Sensing and Aero-Geophysics Data Fusion on Metallogenic Prognosis in Qimantage of East Kunlun Montain Area." Applied Mechanics and Materials 411-414 (September 2013): 1588–93. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.1588.

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Based on west of Qimantage of East Kunlun mountain area, takes advantage of ASTER data, according to the altered mineral spectral characteristics, remote sensing alteration information is extracted. Incorporation the anomaly extraction results with high-precision aero geophysical data processing results, a multiple resource information fusion model is proposed. The fusion model of two totally different type of data which is a special attention in geospatial academia now, which can improve the accuracy of geospatial data application. our fusion result analysis show that it provides information
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