PROBLEMS OF COLLECTING, PROCESSING AND SHARING GEOSPATIAL DATA

被引:4
作者
Wadowska, Agata [1 ]
Peska-Siwik, Agnieszka [1 ]
Maciuk, Kamil [1 ]
机构
[1] AGH Akad Gorniczo Hutnicza, Wydzial Geodezji Gorniczej Inzynierii Srodowiska, Mickiewicza 30, PL-30059 Krakow, Poland
关键词
GIS; geodesy; geoportal; geospatial data;
D O I
10.15576/ASP.FC/2022.21.3/4.5
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Aim of the study The paper describes the problems of collecting, processing and sharing geospatial data on the example of the National Geodetic and Cartographic Resource (GUGiK). The Central Office of Geodesy and Cartography (GUGiK), on the basis of the acquired data, prepares spatial databases for the whole country, such as the database of topographic objects (BDOT) or the numerical terrain model. These data are used for further studies, environmental analyses such as hydrographic or sozological maps of Poland. Material and methods The article indicates what functionalities and, above all, what geospatial data are collected in the geoportal, a government map service managed by the General Office of Geodesy and Cartography. The study included a survey of the geoportal. The purpose of the survey was to obtain information on whether this service is known to potential audiences seeking information on spatial data. Results and conclusions The survey proved that the geoportal is a popular service used to display and process spatial data. Survey respondents use a lot of the data collected in the geoportal and take advantage of its functionality. Finally, an analysis was carried out of data obtained from the District Geodetic and Cartographic Documentation Center of Malopolska regarding the number of notifications of geodetic works, the number of applications for access to materials from the PZGiK, and the number of applications for extracts or extracts from the cadastral record - for the period 2014-2019.
引用
收藏
页码:5 / 16
页数:12
相关论文
共 50 条
  • [21] Geospatial Big Data or Big Geospatial Data: A Bibliometric Review
    Ndu, Chidinma Godsgood
    Shoko, Moreblessings
    SOUTH AFRICAN JOURNAL OF GEOMATICS, 2024, 13 (01): : 158 - 171
  • [22] A framework for processing large scale geospatial and remote sensing data in MapReduce environment
    Giachetta, Roberto
    COMPUTERS & GRAPHICS-UK, 2015, 49 : 37 - 46
  • [23] DEVELOPMENT OF A NEW GEOSPATIAL DATA SHARING/OVERLAY SYSTEM FOR LAND ENVIRONMENTAL STUDIES - CERES GAIA -
    Tateishi, R.
    Sumantyo, J. T. Sri
    Miyazaki, A.
    Sumitani, H.
    XXII ISPRS CONGRESS, TECHNICAL COMMISSION IV, 2012, 39-B4 : 201 - 202
  • [24] Processing model of multi-scale geospatial data based on genetic algorithms
    Deng, Hongyan
    Wu, Fang
    Zhao, Qian
    Dong, Dongmei
    GEOINFORMATICS 2007: GEOSPATIAL INFORMATION TECHNOLOGY AND APPLICATIONS, PTS 1 AND 2, 2007, 6754
  • [25] A data sharing method in the open web environment: Data sharing in hydrology
    Wang, Jin
    Chen, Min
    Lu, Guonian
    Yue, Songshan
    Wen, Yongning
    Lan, Zhenxu
    Zhang, Shuo
    JOURNAL OF HYDROLOGY, 2020, 587 (587)
  • [26] PERFORMING THE COUNTRYWIDE MOSAICS BASED ON GEOSPATIAL DATA
    Shagarova, Lyudmila
    Skakova, Olga
    GEOCONFERENCE ON INFORMATICS, GEOINFORMATICS AND REMOTE SENSING - CONFERENCE PROCEEDINGS, VOL I, 2013, : 853 - 858
  • [27] Geospatial data in the UK
    Jozefowicz, Suzanne
    Stone, Merlin
    Aravopoulou, Eleni
    BOTTOM LINE, 2019, 33 (01) : 27 - 41
  • [28] Reviewing Deep Learning Methods in the Applied Problems of Economic Monitoring Based on Geospatial Data
    M. Lavreniuk
    L. Shumilo
    B. Yailymov
    N. Kussul
    Cybernetics and Systems Analysis, 2022, 58 : 1008 - 1020
  • [29] Reviewing Deep Learning Methods in the Applied Problems of Economic Monitoring Based on Geospatial Data
    Lavreniuk, M.
    Shumilo, L.
    Yailymov, B.
    Kussul, N.
    CYBERNETICS AND SYSTEMS ANALYSIS, 2022, 58 (06) : 1008 - 1020
  • [30] Sharing geospatial provenance in a service-oriented environment
    Yue, Peng
    Wei, Yaxing
    Di, Liping
    He, Lianlian
    Gong, Jianya
    Zhang, Liangpei
    COMPUTERS ENVIRONMENT AND URBAN SYSTEMS, 2011, 35 (04) : 333 - 343