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Статті в журналах з теми "GIS Data Mining"

Автор: Grafiati

Опубліковано: 3 червня 2025

Оновлено: 31 липня 2025

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1

Fu, Chun Chang, and Nan Zhang. "The Application of Data Mining in GIS." Advanced Materials Research 267 (June 2011): 658–61. http://dx.doi.org/10.4028/www.scientific.net/amr.267.658.

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Анотація:

The spatial data mining is an important branch of data mining, this paper introduced the technology of spatial data mining based on GIS, the spatial data mining and the GIS integration of the steps and main mode are described. Research oriented GIS spatial data mining framework structure and basic flow, points out the data mining technology in GIS application of unsolved problems and development direction.

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2

Fu, Chun Chang. "The Research of WebGIS-Based Data Mining." Advanced Materials Research 267 (June 2011): 774–77. http://dx.doi.org/10.4028/www.scientific.net/amr.267.774.

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Анотація:

Data mining provide us a technical found potential knowledge technical from mass data , the data mining technology is applied to GIS can promote GIS analysis of the data, so as to improve the ability of decision support level. WebGIS is traditional GIS space outspread, current network analysis and decision making support capability are low, the network-based integration of data mining and WebGIS can strengthen the analytical capacity.

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3

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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Анотація:

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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4

Mihai, Dana. "New approaches to processing GIS Data using Artificial Neural Networks models." Annals of the University of Craiova - Mathematics and Computer Science Series 48, no. 1 (2021): 358–73. http://dx.doi.org/10.52846/ami.v48i1.1551.

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Анотація:

Spatial data mining is a special type of data mining. The main difference between data mining and spatial data mining is that in spatial data mining tasks we use not only non-spatial attributes but also spatial attributes. Spatial data mining techniques have strong relationship with GIS (Geographical Information System) and are widely used in GIS for inferring association among spatial attributes, clustering and classifying information with respect to spatial attributes. In this paper we use the statistical package Weka on two models, which consist of two parcels plans from the Olt area of Rom

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5

Karimipour, F. "Water Quality Management Using GIS Data Mining." Journal of Environmental Informatics 5, no. 2 (2005): 61–71. http://dx.doi.org/10.3808/jei.200500047.

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6

Spielman, Seth E., and Jean-Claude Thill. "Social area analysis, data mining, and GIS." Computers, Environment and Urban Systems 32, no. 2 (2008): 110–22. http://dx.doi.org/10.1016/j.compenvurbsys.2007.11.004.

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7

Chen, Junyu. "Research on Intelligent Data Mining Technology Based on Geographic Information System." Journal of Computer Science and Artificial Intelligence 2, no. 2 (2025): 12–16. https://doi.org/10.54097/1skxpp12.

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Анотація:

Geographic Information Systems (GIS), as a key means of managing, storing, and analyzing spatial information, have attracted much attention in the field of GIS due to the rapid development of big data and intelligent technology. This article elaborates on the intelligent data mining process based on information collection, data storage, data processing, and data analysis, supplemented by practical application cases, including urban traffic flow research, intelligent transportation system design, and commercial network layout optimization, to demonstrate its broad prospects in practical applica

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8

Foody, Giles M. "Uncertainty, knowledge discovery and data mining in GIS." Progress in Physical Geography: Earth and Environment 27, no. 1 (2003): 113–21. http://dx.doi.org/10.1191/0309133303pp345pr.

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9

Korting, Thales, Leila Fonseca, and Gilberto Camara. "GeoDMA—Geographic Data Mining Analyst." Computers & Geosciences 57, August 2013 (2013): 133–45. https://doi.org/10.1016/j.cageo.2013.02.007.

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Анотація:

Remote sensing images obtained by remote sensing are a key source of data for studying large-scale geographic areas. From 2013 onwards, a new generation of land remote sensing satellites from USA, China, Brazil, India and Europe will produce in 1 year as much data as 5 years of the Landsat-7 satellite. Thus, the research community needs new ways to analyze large data sets of remote sensing imagery. To address this need, this paper describes a toolbox for combing land remote sensing image analysis with data mining techniques. Data mining methods are being extensively used for statistical a

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10

Sui, Jia Yin, Ying Nan Wang, and Zhe Ren. "The Distribution Network Reconfiguration Based on Spatial Data Mining." Applied Mechanics and Materials 427-429 (September 2013): 2748–51. http://dx.doi.org/10.4028/www.scientific.net/amm.427-429.2748.

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Distribution network reconfiguration is one of the essential functions of the DMS system; it can be attributed to a number of constraints of large-scale nonlinear combinatorial optimization problem in mathematics. The characteristic of load change of time and space will affect the results of load forecasting. Distribution network reconfiguration relies on the load forecasting results. This paper proposes the more realistic distribution reconfiguration scheme based on the GIS system with space information through spatial data mining. For the real-time and efficiency of effective assurance data,

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11

Vakhshoori, Vali, Hamid Reza Pourghasemi, Mohammad Zare, and Thomas Blaschke. "Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms." Water 11, no. 11 (2019): 2292. http://dx.doi.org/10.3390/w11112292.

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The aim of this study was to apply data mining algorithms to produce a landslide susceptibility map of the national-scale catchment called Bandar Torkaman in northern Iran. As it was impossible to directly use the advanced data mining methods due to the volume of data at this scale, an intermediate approach, called normalized frequency-ratio unique condition units (NFUC), was devised to reduce the data volume. With the aid of this technique, different data mining algorithms such as fuzzy gamma (FG), binary logistic regression (BLR), backpropagation artificial neural network (BPANN), support ve

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12

Sivaranjani, S., S. Sivakumari, and S. Maragatham. "GIS based Serial Crime Analysis using Data Mining Techniques." International Journal of Computer Applications 153, no. 8 (2016): 19–23. http://dx.doi.org/10.5120/ijca2016912119.

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13

Zhou, Huai Zhi, Dong Xuan Wei, and Hong Zhi Yang. "Study on GIS Framework and Spatial Data Mining Model of China Highway Natural Regionalization." Advanced Materials Research 1073-1076 (December 2014): 1886–90. http://dx.doi.org/10.4028/www.scientific.net/amr.1073-1076.1886.

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Анотація:

The main task of highway natural regionalization is to reveal the regional differences of the natural environment of highway engineering, and provide scientific basis for highway construction decision. To have a quantitative and automatic study on China Highway Natural Regionalization, obtain scientific and objective regionalization conclusion, we studied the framework, spatial data mining model and development methods of China Highway Natural Regionalization GIS (HR-GIS). This paper studied integration method and framework of HR-GIS according to the guideline and methods of the research of Na

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14

Calderón Larrañaga, Yolanda, CESAR AUGUSTO GARCIA UBAQUE, and Jorge Arturo Pineda Jaimes. "A data mining approach to the relationships between landslides and open-pit mining activity: a case study in Soacha (Cundinamarca)." DYNA 88, no. 217 (2021): 111–19. http://dx.doi.org/10.15446/dyna.v88n217.89558.

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Анотація:

Landslides caused by changes in land use, or by anthropic activities such as open-pit mining, constitute one of the most important socio-economic risk factors in countries with developing economies. This article presents an approach to the relationships between mining activity and the development of landslides in a pilot area located in Soacha, Cundinamarca. Through data mining analysis and the use of Geographic Information Systems (GIS), an evaluation of the possible relationships of these factors was carried out, including socioeconomic aspects. From an inventory of open-pit mining sites, th

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15

Goyal, Hemlata, Chilka Sharma, and Nisheeth Joshi. "An Integrated Approach of GIS and Spatial Data Mining in Big Data." International Journal of Computer Applications 169, no. 11 (2017): 1–6. http://dx.doi.org/10.5120/ijca2017914012.

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16

Hnusuwan, Benjawan, Siriwan Kajornkasirat, and Supattra Puttinaovarat. "Dengue Risk Mapping from Geospatial Data Using GIS and Data Mining Techniques." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 11 (2020): 57. http://dx.doi.org/10.3991/ijoe.v16i11.16455.

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Dengue fever is a major public health problem and has been an epidemic in Thailand for a long time. Therefore, there is a need to find a way to prevent the disease. This research aimed to explore the important factors of dengue fever, to study the factors affecting dengue hemorrhagic fever in Surat Thani Province, and to map the potential outbreak of dengue fever. Collecting patient information was done including, Rainfall, Digital Elevation Model (DEM), Land Use and Land Cover (LULC), Population Density, and Patients in Surat Thani Province, which was analyzed using data mining techniques inv

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17

Ependi, Usman. "Geographic Information System Produksi Energi dan Pertambangan Kabupaten Musi Banyuasin." Jurnal Nasional Teknologi dan Sistem Informasi 3, no. 3 (2018): 360–69. http://dx.doi.org/10.25077/teknosi.v3i3.2017.360-369.

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Анотація:

Energy and mining reporting have to conduct for the exploration company in order to make control while exploration. Government control can perform by making profiling of energy and mining data that exist in the area as consideration in taking policy or decision. Stages of energy and mining reporting are very important to do especially in areas that have energy and mining resources such as Musi Banyuasin regency. Profiling can performed by mapping the location of energy and mining results using a geographic information system (GIS) to organize data between explorers and governments. Based on th

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18

Suh, Jangwon. "An Overview of GIS-Based Assessment and Mapping of Mining-Induced Subsidence." Applied Sciences 10, no. 21 (2020): 7845. http://dx.doi.org/10.3390/app10217845.

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Анотація:

This article reviews numerous published studies on geographic information system (GIS)-based assessment and mapping of mining-induced subsidence. The various types of mine subsidence maps were first classified into susceptibility, hazard, and risk maps according to the various types of the engineering geology maps. Subsequently, the mapping studies were also reclassified into several groups according to the analytic methods used in the correlation derivation or elements of the risk of interest. Data uncertainty, analytic methods and techniques, and usability of the prediction map were consider

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19

Bridgelall, Raj, Ryan Jones, and Denver Tolliver. "Ranking Opportunities for Autonomous Trucks Using Data Mining and GIS." Geographies 3, no. 4 (2023): 806–23. http://dx.doi.org/10.3390/geographies3040044.

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Анотація:

The inefficiency of transporting goods contributes to reduced economic growth and environmental sustainability in a country. Autonomous trucks (ATs) are emerging as a solution, but the imbalance in the weight moved and ton-miles produced by long-haul and short-haul trucking creates a challenge in targeting initial deployments. This study offers a unique solution by presenting a robust method that combines data mining and geographic information systems (GISs) to identify the optimal routes for ATs based on a top-down approach to maximize business benefits. Demonstrated in a U.S. case study, thi

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20

Vangu, G. M., A. Croitoru, M. Mitrache, and N. Dima. "Design of a GIS Database for Surface Mining." Journal of Applied Engineering Sciences 13, no. 2 (2023): 289–96. http://dx.doi.org/10.2478/jaes-2023-0037.

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Abstract The mining industry is the branch that provides necessary mineral raw materials for a whole series of economic activities, with the main beneficiaries being the energy industry (through coal consumers), companies specialized in the processing of uranium concentrates, chemical industry, food industry, construction materials industry, non-ferrous metallurgical industry, etc. Thus, in accordance with the Romanian mining industry strategy 2017-2035, one of the objectives of the industrial policy in the mining field in Romania is the development and implementation of a database system for

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21

Chen, Long Quan, and Feng Qiong Zou. "Mining Land Damage Assessment and Analysis Based on ArcGIS." Key Engineering Materials 500 (January 2012): 652–58. http://dx.doi.org/10.4028/www.scientific.net/kem.500.652.

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Serious hazard for mining subsidence, and the prediction of traditional methods of land use change has many defects, this paper mainly analyzes mining subsidence's influence on land use by using GIS. Put data of mining subsidence and layer’s data of land use into ArcGIS, then change region of mining subsidence to regions of the different deep subsidence, then intersect layer of mining subsidence with one of land use, the different deep subsidence and land use database are spatially analyzed and the different lands are found out and their areas are calculated, ArcGIS expresses the result in the

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22

Saganiak, Kamil, and Valentyn Buketov. "Integrating mining software, CAD, and GIS technologies for enhanced 3D geological mapping and visualization." E3S Web of Conferences 567 (2024): 01021. http://dx.doi.org/10.1051/e3sconf/202456701021.

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Анотація:

This research provides a comprehensive overview of the methods and technologies applied for the mapping and visualization of three-dimensional (3D) mining and geological data, highlighting both mining-specific software and general-purpose engineering CAD and GIS tools. The study begins by addressing the challenges associated with the implementation of GIS-type spatial information systems within the mining industry, emphasizing their role in building robust information systems for mine technical departments. It then explores the application of spatial information systems in the environmental pr

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23

Agus Iksan, Harmonis Rante, and Herbert Innah. "PEMETAAN KAWASAN TAMBANG BATUAN DI KABUPATEN SARMI MENGGUNAKAN SISTEM INFORMASI GEOGRAFIS (SIG)." Jurnal ELIPS (Ekonomi, Lingkungan, Infrastruktur, Pengembangan Wilayah, dan Sosial Budaya) 7, no. 1 (2024): 27–36. http://dx.doi.org/10.31957/jurnalelips.v7i1.4123.

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Анотація:

The aim of this research is to identify and analyze rock mining areas in Sarmi Regency using GIS and identifying the types of open pit mines that can be used at these rock mining locations. The benefits of preparing this research are providing contributions to related agencies, providing information on rock mining areas, creating maps of rock mining areas using GIS, apart from that being able to design rock mining systems, as well as increasing insight for researchers and readers regarding mapping rock mining areas using the SiG application. The steps taken are to carry out observations or sur

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24

Irfan Rifai, Andri, Susanty Handayani, and Ronal Al Rasyid. "Data mining applied for national road maintenance decision support system." MATEC Web of Conferences 195 (2018): 04007. http://dx.doi.org/10.1051/matecconf/201819504007.

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Анотація:

National roads are one of the main networks of a country’s transportation system. To maintain the performance level of national roads requires a well-structured pavement management system (PMS). The decision support system (DSS) is inseparable in the modern PMS, which required the development of a new approach for the DSS in support of national road network maintenance. The proposed model integrates data mining (DM) and geographical information system (GIS) to construct a simple DSS. DM is used to developed road maintenance optimization models, and then integrated with DSS with the help of GIS

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25

GUSAT, DOREL, and IOAN BUD. "REMOTE SENSING FLOW DATA IN A UNESCO PROTECTED AREA." Scientific Bulletin Series D : Mining, Mineral Processing, Non-Ferrous Metallurgy, Geology and Environmental Engineering 38, no. 2 (2024): 47–55. https://doi.org/10.37193/sbsd.2024.2.06.

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Анотація:

Roșia Montană, a historic mining site in Romania, was inscribed as a UNESCO World Heritage Site in 2021 due to its exceptional cultural and industrial heritage. Located in the Apuseni Mountains, this area has been a center for gold and silver mining for over 2,000 years, from Roman antiquity to modern times. The site is recognized for its extensive underground mining galleries, well-preserved Roman-era works, and significant historical artifacts. This paper explores the cultural, environmental, and socio-economic dimensions of Roșia Montană, analyzing its historical significance and contempora

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26

Chang, He, Jian Guo Gao, Ping Pan, and Xin Kai Liu. "Design and Development of Mineral Resource Management Information System." Advanced Materials Research 403-408 (November 2011): 2188–91. http://dx.doi.org/10.4028/www.scientific.net/amr.403-408.2188.

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Анотація:

With the increasing geographic information system development, more technology about GIS was introduced to the mineral industry. Because of the promotion and implementation of "Digital Mine", many mining companies and research institutes started to build large mineral resources management information system. Mineral data has complicated and diversified characteristics, it include Two-Dimensional, Three-Dimensional spatial data, production statements, mining point of information, sampling results etc. This paper introduces a kind of design method that spatial database associated with the attrib

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27

Yang, Wei Ping, and Dan Qing Duan. "Architecture of Cloud-Based Crime Spatial Data Mining Platform." Applied Mechanics and Materials 713-715 (January 2015): 1644–48. http://dx.doi.org/10.4028/www.scientific.net/amm.713-715.1644.

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. Crime Spatial Data Mining Platform is used for Police, it collect the information of GIS, mobile phone communication records, surveillance video, IP address, etc. and analysis the information in order to provide crime analysis, crime investigation and crime tracking. This paper presents the architecture of crime spatial data mining platform based on cloud computing, describes the work flow of the cloud platform, designs the virtualization platform architecture, and puts forward the flexible virtual cluster construction strategy. The test shows that it is feasible and effective.

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28

Nikolov, B. P., J. I. Zharkikh, A. A. Soloviev, R. I. Krasnoperov, and S. M. Agayan. "Integration of data mining methods for Earth science data analysis in GIS environment." Russian Journal of Earth Sciences 15, no. 4 (2015): 1–14. http://dx.doi.org/10.2205/2015es000559.

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29

Kaichang, Di, Li Deren, and Li Deyi. "Remote sensing image classification with GIS data based on spatial data mining techniques." Geo-spatial Information Science 3, no. 4 (2000): 30–35. http://dx.doi.org/10.1007/bf02829393.

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30

Zhu, Xiaoyu, Huachao Yang, Hefang Bian, Yang Mei, Bolun Zhang, and Peng Xue. "Multi-Scalar Oblique Photogrammetry-Supported 3D webGIS Approach to Preventive Mining-Induced Deformation Analysis." Applied Sciences 13, no. 24 (2023): 13342. http://dx.doi.org/10.3390/app132413342.

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Underground coal mining will inevitably cause serious ground deformation, and therefore, preventive mining-induced deformation analysis (MIDA) is of great importance in assisting mining planning and decision-making. Current web-based Geographic Information System (webGIS)-based applications usually use 2D GIS data and lack a holistic framework. This study presents a multi-scalar oblique photogrammetry-supported unified 3D webGIS framework for MIDA applications to fill this gap. The developed web platform uses multiple open-source JavaScript libraries, and the prototype system provides user-fri

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31

Kosenko, T., and E. Shukurlu. "Prospects for the development of gold deposits based on geodesic monitoring and GIS technologies." Collection of Research Papers of the National Mining University 79 (December 30, 2024): 38–48. https://doi.org/10.33271/crpnmu/79.038.

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Purpose. Development of a methodology for analyzing gold deposits based on the use of geodetic monitoring and GIS technologies to increase the accuracy of analyzing the spatial distribution of the useful component and optimizing mining operations. Methods. The research methodology is based on a comprehensive approach to the analysis of the Tulallar gold mine, which provides a combination of modern geodetic and geoinformation technologies. The work involved geodetic monitoring methods, exporting spatial data from Google Earth and integrating it into Surfer, and creating a 3D model of the distri

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32

Malik, Rajat. "COMPREHENSIVE STUDY OF APPLICATIONS OF SPATIO TEMPORAL DATA MINING IN GIS." International Journal of Advanced Research in Computer Science 9, no. 2 (2018): 208–10. http://dx.doi.org/10.26483/ijarcs.v9i2.5686.

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33

Zaragozí, B., A. Rabasa, J. J. Rodríguez-Sala, J. T. Navarro, A. Belda, and A. Ramón. "Modelling farmland abandonment: A study combining GIS and data mining techniques." Agriculture, Ecosystems & Environment 155 (July 2012): 124–32. http://dx.doi.org/10.1016/j.agee.2012.03.019.

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34

Choi, Yosoon, Jieun Baek, and Sebeom Park. "Review of GIS-Based Applications for Mining: Planning, Operation, and Environmental Management." Applied Sciences 10, no. 7 (2020): 2266. http://dx.doi.org/10.3390/app10072266.

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Анотація:

In this study, geographic information system (GIS)-based methods and applications utilized for mine development were reviewed. Three types of GIS-based studies, namely studies on mine planning, operation, and environmental management, were examined to describe the role of GIS as a decision-making support tool in mine development. This review was conducted by classifying previous GIS-based studies into several subtopics that pertain to mine development activities and the range of environments to be managed. Because the use of GIS is appropriate for spatial data management related to ore deposit

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35

Zhou, C., W. D. Xiao, and D. Q. Tang. "MINING CO-LOCATION PATTERNS FROM SPATIAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 85–90. http://dx.doi.org/10.5194/isprsannals-iii-2-85-2016.

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Анотація:

Due to the widespread application of geographic information systems (GIS) and GPS technology and the increasingly mature infrastructure for data collection, sharing, and integration, more and more research domains have gained access to high-quality geographic data and created new ways to incorporate spatial information and analysis in various studies. There is an urgent need for effective and efficient methods to extract unknown and unexpected information, e.g., co-location patterns, from spatial datasets of high dimensionality and complexity. A co-location pattern is defined as a subset of sp

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36

Zhou, C., W. D. Xiao, and D. Q. Tang. "MINING CO-LOCATION PATTERNS FROM SPATIAL DATA." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-2 (June 2, 2016): 85–90. http://dx.doi.org/10.5194/isprs-annals-iii-2-85-2016.

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Анотація:

Due to the widespread application of geographic information systems (GIS) and GPS technology and the increasingly mature infrastructure for data collection, sharing, and integration, more and more research domains have gained access to high-quality geographic data and created new ways to incorporate spatial information and analysis in various studies. There is an urgent need for effective and efficient methods to extract unknown and unexpected information, e.g., co-location patterns, from spatial datasets of high dimensionality and complexity. A co-location pattern is defined as a subset of sp

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37

Tsangaratos, P., I. Koumantakis, and D. Rozos. "GIS- BASED APPLICATION FOR GEOTECHNICAL DATA MANAGING." Bulletin of the Geological Society of Greece 43, no. 3 (2017): 1656. http://dx.doi.org/10.12681/bgsg.11340.

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Анотація:

The need to provide data management capabilities in geotechnical projects, makes data visualization in a more understanding way vital, while improvements in computer science, have created an opportunity to rethink the manner in which such data is archived and presented. Geographic Information Systems are considered nowadays as principal methods for analysis, utilizing their ability of manipulating, compiling and processing spatial data, such as geotechnical one. In this paper, the development of Borehole Analysis System (BAS) a specific Graphical User Interface (GUI) application is proposed to

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Maeda, Takahiro, and Hiroyuki Fujiwara. "Seismic Hazard Visualization from Big Simulation Data: Construction of a Parallel Distributed Processing System for Ground Motion Simulation Data." Journal of Disaster Research 11, no. 2 (2016): 265–71. http://dx.doi.org/10.20965/jdr.2016.p0265.

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We have developed a data mining system of parallel distributed processing system which is applicable to the large-scale and high-resolution numerical simulation of ground motion by transforming into ground motion indices and their statistical values, and then visualize their values for the seismic hazard information. In this system, seismic waveforms at many locations calculated for many possible earthquake scenarios can be used as input data. The system utilizes Hadoop and it calculates the ground motion indices, such as PGV, and statistical values, such as maximum, minimum, average, and stan

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39

Weningsulitri, Weningsulitri, Retno Damayanti, Tri Widarti Masduki, Jeani Sulistyowati, Muhamad Lutfi, and Bagaraja Sirait. "GIS application for monitoring the mine areas." Indonesian Mining Journal 25, no. 2 (2022): 77–88. http://dx.doi.org/10.30556/imj.vol25.no2.2022.1283.

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Technology development is growing fast, such as satellite imagery and GIS for various applications, one of them is mining technology. Several regulations for the mining sector regarding the mandatory use of satellite imagery have been stated in some regulations to be implemented in mining sectors. Some mine environmental studies showed that the remote sensing and the GIS analysis could detect the small changes in its environment area with effective cost as the coverage of the sensory images is quite broad. The purpose is to monitor land alteration by observing the changes at the taking place,

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40

Iwashita, Fabio, Michael J. Friedel, Carlos Roberto de Souza Filho, and Stephen J. Fraser. "Hillslope chemical weathering across Paraná, Brazil: A data mining-GIS hybrid approach." Geomorphology 132, no. 3-4 (2011): 167–75. http://dx.doi.org/10.1016/j.geomorph.2011.05.006.

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41

Krawczyk, Artur. "Mining Geomatics." ISPRS International Journal of Geo-Information 12, no. 7 (2023): 278. http://dx.doi.org/10.3390/ijgi12070278.

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This paper attempts to define a name for an area of science and technology that encompasses the acquisition, processing and application of spatial data in the mining industry. A comparative study of the evolution of spatial data exchange methods between Geographic Information Systems (GISs) and General Mining Planning (GMP) software is carried out to define the problem and name it. Subsequent modifications of the acronym GIS towards the specialisation of its application in mining are then reviewed. This is followed by the identification of three terminological postulates designed to formulate

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42

Zhang, Hong Mei, and Yang Gao. "The Dynamic Monitoring of Coal Mining Seeper Subsidence District Based on RS and GIS Technology — A Case Study of Huainan City." Applied Mechanics and Materials 256-259 (December 2012): 2311–14. http://dx.doi.org/10.4028/www.scientific.net/amm.256-259.2311.

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Using the 1987 TM and 2006 ETM+ remote sensing images and other related ancillary geographical data of Huainan city, combined with GIS Technology, the dynamic change of the coal mining subsidence of Huainan city was extracted. In order to unify the two period image data difference because of the different date, the research used modified normalized difference water index (MNDWI) to get the information of seeper subsidence in coal mining district. Using the change detection function of RS, Combined with the spatial analysis and statistics function of GIS, all the subsidence area of coal mining

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43

Pramod Kumar Dwivedi and Dr. Prabhat Pandey. "Crop Yield Prediction and Classification using the Agriculture Resources and Data Mining Techniques." Journal of Advances in Science and Technology 20, no. 2 (2024): 131–37. http://dx.doi.org/10.29070/krwa0448.

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This study investigates the application of data mining techniques in meteorological forecasting to enhance crop yield prediction accuracy Moreover, the integration of meteorological forecasting with agronomic models and geographical information systems (GIS) facilitates site-specific crop management and precision agriculture practices. By combining meteorological data with soil properties, crop phenology, and socio-economic factors, data mining techniques enable the development of predictive models that enhance crop yield potential and optimize resource allocation. By leveraging advanced data

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44

Elisabeta, Antonia Haller. "BRAIN Journal - Geospatial Analysis Framework." BRAIN Journal 1, no. 2 (2010): 166–71. https://doi.org/10.5281/zenodo.1026889.

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ABSTRACT: In a computerized society, the volume of data grows unexpectedly, making assessing their processing time a very difficult task. A priority has become the processing of data in useful information and knowledge. Thus we can say that data mining is a result of technological developments. The interpretation of spatial data has constituted a subject of research over time, reaching now a large variety of instruments and software products for representation and interpretation. What we need to understand beyond the facilities offered by one system or another, proprietary or open source solut

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45

Yang, Ke Ming, Jun Ting Ma, Bo Pang, Yi Bin Wang, Ran Wang, and Meng Ting Duan. "3D Visual Technology of Geo-Deformation Disasters Induced by Mining Subsidence Based on ArcGIS Engine." Key Engineering Materials 500 (January 2012): 428–36. http://dx.doi.org/10.4028/www.scientific.net/kem.500.428.

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Mining subsidence often produces significant horizontal and vertical movements at the ground surface, the surface deformation induced by underground coal mining can be predicted by probability integral method, and the surface geo-deformation disasters can be visualized based on GIS components. A three dimensional (3D) visualizing system of surface geo-deformation information is designed and developed with ArcGIS Engine and C# in the study. According to the surface deformation-predicted data induced by underground coal mining in Guobei Coalmine of Huaibei mine field, the extents and degrees of

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D’Andrea, Antonino, Claudio Cappadona, Gianluca La Rosa, and Orazio Pellegrino. "A FUNCTIONAL ROAD CLASSIFICATION WITH DATA MINING TECHNIQUES." TRANSPORT 29, no. 4 (2014): 419–30. http://dx.doi.org/10.3846/16484142.2014.984329.

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The current international road standards, in order to give organization and safety, promote the classification of roads according to their technical and functional characteristics beyond their administrative membership, but the procedures are yet strongly based on the expertise’s judgment. In fact, although this activity has a great importance for the consequences that produces in terms of responsibility and allocation of economic resources, it is solely based on the quantification of some variables without specifying methods or analytical procedures. In this paper, after an instrumental surve

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47

Ang, Michelle Li Ern, John R. Owen, Christopher N. Gibbins, et al. "Systematic Review of GIS and Remote Sensing Applications for Assessing the Socioeconomic Impacts of Mining." Journal of Environment & Development 32, no. 3 (2023): 243–73. http://dx.doi.org/10.1177/10704965231190126.

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As the mining industry expands, a comprehensive understanding of its socioeconomic risks and benefits is urgently needed. This paper systematically reviews 71 studies (1996–2021) that utilized spatially integrated approaches to evaluate socioeconomic mining impacts. The number of studies that utilize geographic information systems and remote sensing to study mining impacts increased from 2014 onwards. A framework was used to classify the mining impacts studied in the literature and all eight framework categories – Environment, Land, People, Community, Culture, Livelihoods, Infrastructure and H

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Li, Songyuan, Yuyan Man, Chi Zhang, Qiong Fang, Suya Li, and Min Deng. "PRPD data analysis with Auto-Encoder Network." E3S Web of Conferences 81 (2019): 01019. http://dx.doi.org/10.1051/e3sconf/20198101019.

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Gas Insulated Switchgear (GIS) is related to the stable operation of power equipment. The traditional partial discharge pattern recognition method relies on expert experience to carry out feature engineering design artificial features, which has strong subjectivity and large blindness. To address the problem, we introduce an encoding-decoding network to reconstruct the input data and then treat the encoded network output as a partial discharge signal feature. The adaptive feature mining ability of the Auto-Encoder Network is effectively utilized, and the traditional classifier is connected to

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49

Researcher. "THE EVOLUTION AND IMPACT OF AI IN GEOGRAPHIC INFORMATION SYSTEMS." International Journal of Computer Engineering and Technology (IJCET) 15, no. 5 (2024): 794–802. https://doi.org/10.5281/zenodo.13912537.

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This article explores the transformative impact of Artificial Intelligence (AI) on Geographic Information Systems (GIS) over the past few decades. It traces the evolution of AI in GIS from its early applications in the 1990s, through its expanded role in predictive modeling, image classification, and spatial data mining, to its current state as an indispensable tool across various industries. The article highlights how AI has revolutionized spatial data analysis, improved decision-making processes, and enhanced our understanding of complex geographical phenomena. It presents numerical data on

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50

Benyas, Kawtar, Assia Idrissi, Abdelmounim Qarbous, et al. "GIS-Driven mineral exploration: Enhancing geological insight through aeromagnetic integration." E3S Web of Conferences 607 (2025): 01001. https://doi.org/10.1051/e3sconf/202560701001.

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The Rehamna Variscan massif, located in the western Moroccan Meseta, is known for its geological complexity and mining potential, requiring detailed investigation to uncover its hidden resources. This study combines spatial analysis with aeromagnetic geophysical prospecting methods, using Geographic Information Systems (GIS), which are effective for integrating spatio-temporal data and organizing research phases. The goal is to demonstrate that incorporating aeromagnetic data into GIS enhances the detection and analysis of geological structures, thus facilitating mineral prospecting. This inte

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