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Journal articles on the topic 'Geospatial data quality'

Author: Grafiati

Published: 5 June 2025

Last updated: 1 August 2025

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1

Plante, Katherine, and Marc Gervais. "Geospatial Data Quality Guarantee." GEOMATICA 69, no. 1 (2015): 29–48. http://dx.doi.org/10.5623/cig2015-102.

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Geospatial data has become ubiquitous in our society and abundantly used by public institutions fulfilling their mandates as well as citizen managing their day-to-day affairs. But the dissemination of geospatial data raises certain issues surrounding the nature of the contract involved along with the quality guarantees that may be applicable. Should this data be treated as a tangible or intangible asset? Would the standard guarantees defined by our legislation apply if it were considered intangible? What about the specific characteristics of geospatial data? How simple would it be to guarantee

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Zhao, H. T., W. C. Gao, C. F. Jing, and X. F. Li. "A FULL LIFE DATA QUALITY WORKFLOW RESEARCH AND PROJECT PRACTICE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 327–32. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-327-2021.

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Abstract. With the development of technology and geospatial equipment, more and more work, particularly covering a big area survey and mapping work, are conducted with different worker and equipment, or heterogeneous time variation. With the traditional data quality focus on the geospatial data quality itself, which is not include the work files and organization. Facing the heterogeneous characteristics of geospatial data and work organization, a full life data quality workflow was proposed to manage and control geospatial data quality. The proposed workflow is extended to include the file pre

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Kin, Danylo, and Nadiia Lazorenko-Hevel. "The method for the quality evaluation of open geospatial data for creation and updating of datasets for National Spatial Data Infrastructure in Ukraine." Polish Cartographical Review 53, no. 1 (2021): 13–20. http://dx.doi.org/10.2478/pcr-2021-0002.

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Abstract The purpose of the article is to present the research on method of the quality evaluation of published open geospatial data and its implementation in Ukraine. The method of the quality evaluation of open geospatial data considers the international standard ISO 19157 “Geographic information. Data quality”. This method is to determine the number of points or levels (maximum – 5). The research was carried out for the evaluation of open geoinformation resources for production of geospatial datasets, as defined in the Ukrainian Law on NSDI. The authors evaluated the quality of 142 open geo

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Quarati, Alfonso, Monica De Martino, and Sergio Rosim. "Geospatial Open Data Usage and Metadata Quality." ISPRS International Journal of Geo-Information 10, no. 1 (2021): 30. http://dx.doi.org/10.3390/ijgi10010030.

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The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provid

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Koh, Keumseok, Ayaz Hyder, Yogita Karale, and Maged N. Kamel Boulos. "Big Geospatial Data or Geospatial Big Data? A Systematic Narrative Review on the Use of Spatial Data Infrastructures for Big Geospatial Sensing Data in Public Health." Remote Sensing 14, no. 13 (2022): 2996. http://dx.doi.org/10.3390/rs14132996.

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Background: Often combined with other traditional and non-traditional types of data, geospatial sensing data have a crucial role in public health studies. We conducted a systematic narrative review to broaden our understanding of the usage of big geospatial sensing, ancillary data, and related spatial data infrastructures in public health studies. Methods: English-written, original research articles published during the last ten years were examined using three leading bibliographic databases (i.e., PubMed, Scopus, and Web of Science) in April 2022. Study quality was assessed by following well-

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Al-bakri, Maythm. "Ten Years of OpenStreetMap Project: Have We Addressed Data Quality Appropriately? – Review Paper." Journal of Engineering 21, no. 4 (2015): 158–75. http://dx.doi.org/10.31026/j.eng.2015.04.09.

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It has increasingly been recognised that the future developments in geospatial data handling will centre on geospatial data on the web: Volunteered Geographic Information (VGI). The evaluation of VGI data quality, including positional and shape similarity, has become a recurrent subject in the scientific literature in the last ten years. The OpenStreetMap (OSM) project is the most popular one of the leading platforms of VGI datasets. It is an online geospatial database to produce and supply free editable geospatial datasets for a worldwide. The goal of this paper is to present a comprehensive

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Cooper, Antony K., Serena Coetzee, Marinet Blom, Maroale Chauke, and Vutomi Ndlovu. "Geospatial data quality training for the South African Spatial Data Infrastructure – Lessons learnt from training geospatial data custodians." South African Journal of Geomatics 14, no. 1 (2025): 122–40. https://doi.org/10.4314/sajg.v14i1.8.

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Standards play an important role in achieving the objectives of a spatial data infrastructure. However, standards can be difficult to understand and implement for those with limited exposure to them. The South African Spatial Data Infrastructure (SASDI) aims to facilitate the capture, management, maintenance, integration, distribution and use of spatial information. To decide whether a SASDI data set is fit for a specific purpose, users need information about its quality. SANS 19157:2014, Geographic information – Data quality, specifies how the quality of geospatial data can be described and a

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de Rijcke, Izaak, and Megan Mills. "Free Geospatial Data and Quality: Implications for Users, Contributors and Distributors." GEOMATICA 69, no. 1 (2015): 49–63. http://dx.doi.org/10.5623/cig2015-103.

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Geospatial data is widely available and used by a broad range of users for a wide range of purposes—from government planning for service delivery to directions on how to get to a coffee shop. What, if any, duties and standards of care are owed to users of geospatial data by the provider? This is a question complicated by a growing trend toward volunteer geographic information (or VGI) that is itself part of the broader trend of user generated content whereby the users of data contribute geographic data and create a wide range of value-added products based on available data. This paper is a com

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Santos, J., R. Teodoro, N. Mira, and V. B. Mendes. "GEOSPATIAL DATA QUALITY OF THE SERVIR CORS NETWORK." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences II-3/W5 (August 20, 2015): 285–90. http://dx.doi.org/10.5194/isprsannals-ii-3-w5-285-2015.

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The SERVIR Continuous Operation Reference Stations (CORS) network was implemented in 2006 to facilitate land surveying with Global Navigation Satellite Systems (GNSS) positioning techniques. Nowadays, the network covers all Portuguese mainland. The SERVIR data is provided to many users, such as surveyors, universities (for education and research purposes) and companies that deal with geographic information. By middle 2012, there was a significant change in the network accessing paradigm, the most important of all being the increase in the responsibility of managing the network to guarantee a p

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Basiri, Anahid, Muki Haklay, Giles Foody, and Peter Mooney. "Crowdsourced geospatial data quality: challenges and future directions." International Journal of Geographical Information Science 33, no. 8 (2019): 1588–93. http://dx.doi.org/10.1080/13658816.2019.1593422.

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Otegui, Javier, and Robert P. Guralnick. "The geospatial data quality REST API for primary biodiversity data." Bioinformatics 32, no. 11 (2016): 1755–57. http://dx.doi.org/10.1093/bioinformatics/btw057.

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Pobedinsky, Gennady. "OF THE REFORM OF RUSSIAN CARTOGRAPHIC AND GEODETIC SERVICE AND THE QUALITY OF STATE GEOSPATIAL DATA." Interexpo GEO-Siberia 1, no. 1 (2019): 3–17. http://dx.doi.org/10.33764/2618-981x-2019-1-1-3-17.

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The problems of creation and use of geospatial data in the Russian Federation are considered. The analysis of the quality criteria and state regulatory issues the quality of public geospatial data to meet the needs of state and municipal management, Economics, defence and security in a modern, reliable and accurate geospatial data.

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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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Ariza-López, Francisco Javier, Pablo Barreira González, Joan Masó Pau, et al. "Geospatial data quality (ISO 19157-1): evolve or perish." Revista Cartográfica, no. 100 (May 1, 2020): 129–54. http://dx.doi.org/10.35424/rcarto.i100.692.

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Given the circumstance that the process for the revision of the international standard ISO 19157 is currently open, this article presents a critical reflection on its content, application and some challenges posed by the new types of data (e.g. big data, BIM data, etc.), that also have a geospatial component and to which, therefore, this international standard can be applied as well. Proposals are put forward going along three lines of improvement, on the one hand the consideration of new data quality elements and on the other, the reinforcement of the interoperability of this international st

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M. A. Xavier, Emerson, Francisco J. Ariza-López, and Manuel A. Ureña-Cámara. "Automatic evaluation of geospatial data quality using web services." Revista Cartográfica, no. 98 (June 27, 2019): 59–73. http://dx.doi.org/10.35424/rcar.v5i98.141.

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El sector geomático vive un escenario de sobrecarga de datos donde casi todos los días se generan nuevas bases de datos geoespaciales (BDG). Sin embargo, hay poca o ninguna información sobre la calidad de estas BDG. En este contexto proponemos una solución para la evaluación automática de la calidad de los datos geoespaciales utilizando servicios web. Este enfoque está compuesto por procedimientos de evaluación automática para el control de calidad de la consistencia topológica, comple- ción y exactitud posicional según se especifican en el estándar brasileño. Algunos procedimientos de control

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Ariza López, Francisco Javier, Pablo Barreira González, Joan Masó Pau, et al. "Geospatial data quality (ISO 19157-1): evolve or perish." Revista Cartográfica, no. 100 (May 1, 2020): 129–54. http://dx.doi.org/10.35424/rcarto.v0i100.692.

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Given the circumstance that the process for the revision of the international standard ISO 19157 is currently open, this article presents a critical reflection on its content, application and some challenges posed by the new types of data (e.g. big data, BIM data, etc.), that also have a geospatial component and to which, therefore, this international standard can be applied as well. Proposals are put forward going along three lines of improvement, on the one hand the consideration of new data quality elements and on the other, the reinforcement of the interoperability of this international st

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Lwin, Ko Ko, Yoshihide Sekimoto, and Wataru Takeuchi. "Development of GIS Integrated Big Data Research Toolbox (BigGIS-RTX) for Mobile CDR Data Processing in Disasters Management." Journal of Disaster Research 13, no. 2 (2018): 380–86. http://dx.doi.org/10.20965/jdr.2018.p0380.

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This article reports the development of a geographical information system (GIS) embedded text-based geospatial Big Data research toolbox (BigGIS-RTX) designed especially for mobile CDR (Call Details Record) data processing in urban transport planning and disaster management. BigGIS-RTX is a standalone computer program that aims to provide a bridge between geospatial Big Data and end users (i.e. students and researchers) by reducing difficulties in handling geospatial Big Data processing and analysis tasks. This research toolbox makes it possible to handle text-based geospatial Big Data cleanin

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Zhang, Ying, Chaopeng Li, Na Chen, et al. "Semantic Web and Geospatial Unique Features Based Geospatial Data Integration." International Journal on Semantic Web and Information Systems 12, no. 1 (2016): 1–22. http://dx.doi.org/10.4018/ijswis.2016010101.

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Since large amount of geospatial data are produced by various sources and stored in incompatible formats, geospatial data integration is difficult because of the shortage of semantics. Despite standardised data format and data access protocols, such as Web Feature Service (WFS), can enable end-users with access to heterogeneous data stored in different formats from various sources, it is still time-consuming and ineffective due to the lack of semantics. To solve this problem, a prototype to implement the geospatial data integration is proposed by addressing the following four problems, i.e., g

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Keinan, E., N. Shwarts, O. Siman Tov, H. Ronen, and R. Regev. "ISRAELI NATIONAL AERIAL DATA CAPTURING STANDARD FOR GENERATION OF DIGITAL GEOSPATIAL PRODUCTS AT NATIONAL SCALE." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 65–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-65-2022.

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Abstract. Digital camera systems are a key component in the production of reliable, geometrically accurate, high-resolution geospatial products in a national scale. These systems have replaced film imaging in photogrammetric data capturing. Today, we are witnessing a proliferation of imaging sensors, collecting images in different ground resolutions, spectral bands, swath sizes, radiometric characteristics and accuracies being carried on varied mobile platforms. In addition, these imaging sensors combined with navigational tools (such as GPS and IMU), active sensors such as laser scanning and

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Bhangale, Prajakta, and Shubhangi Vaikole. "Chaotic Map Based Raster Data Encryption for Geospatial Data." International Journal of Safety and Security Engineering 13, no. 6 (2023): 1117–25. http://dx.doi.org/10.18280/ijsse.130615.

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Homburg, Timo. "Connecting Semantic Situation Descriptions with Data Quality Evaluations—Towards a Framework of Automatic Thematic Map Evaluation." Information 11, no. 11 (2020): 532. http://dx.doi.org/10.3390/info11110532.

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A continuing question in the geospatial community is the evaluation of fitness for use of map data for a variety of use cases. While data quality metrics and dimensions have been discussed broadly in the geospatial community and have been modelled in semantic web vocabularies, an ontological connection between use cases and data quality expressions allowing reasoning approaches to determine the fitness for use of semantic web map data has not yet been approached. This publication introduces such an ontological model to represent and link situations with geospatial data quality metrics to evalu

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Yılmaz, C., and Ç. Cömert. "ONTOLOGY BASED QUALITY EVALUATION FOR SPATIAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-3/W3 (August 19, 2015): 95–99. http://dx.doi.org/10.5194/isprsarchives-xl-3-w3-95-2015.

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Many institutions will be providing data to the National Spatial Data Infrastructure (NSDI). Current technical background of the NSDI is based on syntactic web services. It is expected that this will be replaced by semantic web services. The quality of the data provided is important in terms of the decision-making process and the accuracy of transactions. Therefore, the data quality needs to be tested. This topic has been neglected in Turkey. Data quality control for NSDI may be done by private or public “data accreditation” institutions. A methodology is required for data quality evaluation.

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Mazroob Semnani, N., P. V. Kuper, M. Breunig, and M. Al-Doori. "TOWARDS AN INTELLIGENT PLATFORM FOR BIG 3D GEOSPATIAL DATA MANAGEMENT." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 133–40. http://dx.doi.org/10.5194/isprs-annals-iv-4-133-2018.

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<p><strong>Abstract.</strong> The use of intelligent technologies within 3D geospatial data analysis and management will decidedly open the door towards efficiency, cost transparency, and on-time schedules in planning processes. Furthermore, the mission of smart cities as a future option of urban development can lead to an environment that provides high-quality life along stable structures. However, neither geospatial information systems nor building information modelling systems seem to be well prepared for this new development. After a review of current approaches and a dis

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Yohan Kartiko, Erik, Fatwa Ramdani, and Fitra Abdurrachman Bachtiar. "Comparing and Analysis of Geospatial Interpolation Prediction Algorithm: Case Study The Quality of Education of Malang and Batu City, Indonesia." Journal of Information Technology and Computer Science 7, no. 1 (2022): 38–46. http://dx.doi.org/10.25126/jitecs.202271373.

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Abstract. The number of schools in Indonesia continues to grow. This must also be balanced with improving the quality of education in accordance with the objectives of the 4 SDGs, which as a whole are to improve the quality of education that is inclusive, equitable and provides lifelong learning opportunities. However, until now it is very difficult to determine differences in the quality of education in an area. From the problem of education quality and education equity, it is necessary to have a regional analysis of the quality of education. This analysis can be performed using various geosp

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Kroumova, Yulia, Tanya Trenkova, Stoyan Nedkov, and Aleksandra Ravnachka. "Operational suitability assessment of information resources for a geospatial environmental database unity." GeoStudies 1 (May 28, 2024): 59–74. https://doi.org/10.3897/geostudies.1.e120103.

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In the contemporary digital world, data is a pivotal capital considered an economic factor for generating digital products and services. The rapid growth in data volume and their heterogeneity requires optimization of the data management in order to extract higher added value from them. In the context of this issue, one of the goals of the National Scientific Program "Environmental Protection and Risk Reduction from Adverse Events and Natural Disasters" is the creation of a unified geo-informational environment integrating the data from the work packages. To realize this goal, the present stud

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Shahi, Kamal. "Volunteered Geographic Information (VGI) in Spatial Data Infrastructure (SDI) Continuum." EAI Endorsed Transactions on Internet of Things 9, no. 1 (2023): e3. http://dx.doi.org/10.4108/eetiot.v9i1.2979.

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Spatial data infrastructure (SDI) is a system that supports the management and use of geospatial data and related resources. It involves the creation and maintenance of a network of organizations, people, and technology that enables the sharing of geospatial data across sectors and stakeholders. In recent years, the growth of geospatial data and the increasing reliance on it by various sectors has led to the emergence of new trends in SDI, such as the use of cloud computing and big data analytics, the integration of geospatial data with other types of data, and the emphasis on open data and da

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Oberoi, K., S. Purohit, P. A. Verma, A. Deshmukh, S. Saran, and P. Chauhan. "GEOSPATIAL BASED CITIZEN CENTRIC WATER QUALITY MEASUREMENT SOLUTION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5 (November 19, 2018): 75–78. http://dx.doi.org/10.5194/isprs-archives-xlii-5-75-2018.

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<p><strong>Abstract.</strong> Citizen science has emerged as a game changer in various scientific endeavors, wherein scientific data for understanding the phenomenon could be collected by volunteers/non-specialist in a quick possible time. Citizens nowadays play an important role by functioning as “sensors” helping government/institutions by collecting and analyzing data. The advancements and convergence of technologies (Information and communication technologies (ICT)), especially the Internet and mobile technology has further assisted in such efforts. Moreover, the location

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Hošková-Mayerová, Šárka. "Geospatial Data Reliability, Their Use In Crisis Situations." International conference KNOWLEDGE-BASED ORGANIZATION 21, no. 3 (2015): 694–98. http://dx.doi.org/10.1515/kbo-2015-0117.

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Abstract Spatial data are used not only for basic orientation in space but also as data for solving tasks connected with actual decisions, e.g. geographic impact on combat and non-combat army activities in given environments, predictions of landscape damage under extreme meteorological conditions or emergencies, in cases of military threats to the state, etc. in many tasks the source data are combined and based on mathematically or procedurally described processes, new data are created. Currently, computer equipment, geographic information systems (GIS), remote sensing, computer cartography, e

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Yanto, Fendi Hary, Suryoto Suryoto, and Oktavia Kurnianingsih. "GEOGRAPHICAL INFORMATION SYSTEM ANALYSIS PBB BLOCK MAP (CASE STUDY DESA GAJAHAN KABUPATEN KARANGAYAR." astonjadro 11, no. 1 (2021): 144. http://dx.doi.org/10.32832/astonjadro.v11i1.5831.

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<p>Geographic Information Systems (GIS) have become very interesting and provide hope and the development of information and communication technology. One of the efforts to support the management of PBB geospatial data is by developing a Spatial Data Infrastructure (IDS). To determine the quality of geospatial data used in PBB management and the condition and readiness of IDS for PBB. A GIS-based computer program was used it. This study aims to determine the quality of geospatial data used to manage PBB in Gajahan Village, Colomadu District, Karngayar Regency. We collected data using obs

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Müller, H. "BRIDGING THE GAP BETWEEN SURVEYORS AND THE GEO-SPATIAL SOCIETY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 683–86. http://dx.doi.org/10.5194/isprs-archives-xli-b4-683-2016.

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For many years FIG, the International Association of Surveyors, has been trying to bridge the gap between surveyors and the geospatial society as a whole, with the geospatial industries in particular. Traditionally the surveying profession contributed to the good of society by creating and maintaining highly precise and accurate geospatial data bases, based on an in-depth knowledge of spatial reference frameworks. Furthermore in many countries surveyors may be entitled to make decisions about land divisions and boundaries. By managing information spatially surveyors today develop into the role

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Müller, H. "BRIDGING THE GAP BETWEEN SURVEYORS AND THE GEO-SPATIAL SOCIETY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B4 (June 14, 2016): 683–86. http://dx.doi.org/10.5194/isprsarchives-xli-b4-683-2016.

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For many years FIG, the International Association of Surveyors, has been trying to bridge the gap between surveyors and the geospatial society as a whole, with the geospatial industries in particular. Traditionally the surveying profession contributed to the good of society by creating and maintaining highly precise and accurate geospatial data bases, based on an in-depth knowledge of spatial reference frameworks. Furthermore in many countries surveyors may be entitled to make decisions about land divisions and boundaries. By managing information spatially surveyors today develop into the role

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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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Schultz, Martin. "Artificial intelligence for air quality." Project Repository Journal 12, no. 1 (2022): 70–73. http://dx.doi.org/10.54050/prj1218384.

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Artificial intelligence for air quality IntelliAQ is an ERC Advanced Grant project to explore the application of cutting-edge machine learning techniques to global air quality data in combination with high resolution geospatial and weather data. It combines novel data management and data science approaches to build the foundation for innovative air quality information services.

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Salama, Abdulrahman, Cordel Hampshire, Josh Lee, et al. "RDQS: A Geospatial Data Analysis System for Improving Roads Directionality Quality." ISPRS International Journal of Geo-Information 11, no. 8 (2022): 448. http://dx.doi.org/10.3390/ijgi11080448.

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With the increasing availability of smart devices, billions of users are currently relying on map services for many fundamental daily tasks such as obtaining directions and getting routes. It is becoming more and more important to verify the quality and consistency of route data presented by different map providers. However, verifying this consistency manually is a very time-consuming task. To address this problem, in this paper we introduce a novel geospatial data analysis system that is based on road directionality. We investigate our Road Directionality Quality System (RDQS) using multiple

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Drobnjak, Siniša, Dragoljub Sekulović, Mladen Amović, Ljubomir Gigović, and Miodrag Regodić. "Central geospatial database analysis of the quality of road infrastructure data." Geodetski vestnik 60, no. 02 (2016): 269–84. http://dx.doi.org/10.15292/geodetski-vestnik.2016.02.269-284.

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Santos, Alex da Silva, Nilcilene das Graças Medeiros, Gérson Rodrigues dos Santos, and Jugurta Lisboa Filho. "USE OF GEOSTATISTICS ON ABSOLUTE POSITIONAL ACCURACY ASSESMENT OF GEOSPATIAL DATA." Boletim de Ciências Geodésicas 23, no. 3 (2017): 405–18. http://dx.doi.org/10.1590/s1982-21702017000300027.

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Abstract: In the area of Geosciences it is intuitive to think of spatial correlation as a phenomenon under study, and Geostatistics has tools to identify and represent the behavior of such dependency. The spatial analysis of the results of an inspection of the quality of a cartographic product is generally not addressed in the standards, which are restricted to descriptive and tabular findings, based on the assumption of the Classical Statistics of independence of observed data. At the Brazilian National Infrastructure of Spatial Data (INDE), various cartographic products should be made availa

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Albakri, Maythm, and Duaa Salman Hussien. "Evaluating the Quality of Authoritative Geospatial Datasets." Journal of Engineering 23, no. 11 (2017): 113–29. http://dx.doi.org/10.31026/j.eng.2017.11.09.

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General Directorate of Surveying is considered one of the most important sources of maps in Iraq. It produced digital maps for whole Iraq in the last six years. These maps are produced from different data sources with unknown accuracy; therefore, the quality of these maps needs to be assessed. The main aim of this study is to evaluate the positional accuracy of digital maps that produced from General Directorate of Surveying. Two different study areas were selected: AL-Rusafa and AL-Karkh in Baghdad / Iraq with an area of 172.826 and 135.106 square kilometers, respectively. Different statistic

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Ferrari, Elia, Friedrich Striewski, Fiona Tiefenbacher, Pia Bereuter, David Oesch, and Pasquale Di Donato. "Search Engine for Open Geospatial Consortium Web Services Improving Discoverability through Natural Language Processing-Based Processing and Ranking." ISPRS International Journal of Geo-Information 13, no. 4 (2024): 128. http://dx.doi.org/10.3390/ijgi13040128.

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The improvement of search engines for geospatial data on the World Wide Web has been a subject of research, particularly concerning the challenges in discovering and utilizing geospatial web services. Despite the establishment of standards by the Open Geospatial Consortium (OGC), the implementation of these services varies significantly among providers, leading to issues in dataset discoverability and usability. This paper presents a proof of concept for a search engine tailored to geospatial services in Switzerland. It addresses challenges such as scraping data from various OGC web service pr

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Yilmaz, C., C. Comert, and D. Yildirim. "SDQO AND SFO, ONTOLOGIES FOR SPATIAL DATA QUALITY ASSESSMENT." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 5, 2019): 1275–80. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-1275-2019.

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<p><strong>Abstract.</strong> Spatial quality assessment is based on the conformance of data to its specifications or fitness for users’ purpose. These specifications and the users’ purposes include the rules and constraints that a dataset should comply with. Assessing the compliance of data to the rules is still an active research subject and rule-based approach is the common method. For the efficient rule-based system implementation, it is desired to automate assessment process with a domain-independent and web-based approach. Reasoning capability and re-usability of semant

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Abdulmuttalib, Hussein, Mulhim Al Doori, Árpád Barsi, et al. "Remote Sensing Data Quality in the Era of AI." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-3-2024 (November 4, 2024): 1–11. http://dx.doi.org/10.5194/isprs-annals-x-3-2024-1-2024.

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Abstract. The era of Artificial Intelligence ‘AI’ with all the benefits brought along, has raised new and additional challenges to the ongoing efforts of assessing, defining, formulating, and implementing the quality aspects of geospatial remote sensing data. Developed practices using artificial intelligence leveraged techniques such as image interpretation, classification, thematic mapping, and even image quality enhancement, necessitating by that the reassessment and redevelopment of some of the related emerging quality aspects. Moreover, technology also made the generation of false images a

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Narwade, Sujit, Mohit Kalra, Rajkumar Jagdish, et al. "Literature based species occurrence data of birds of northeast India." ZooKeys 150 (November 28, 2011): 407–17. https://doi.org/10.3897/zookeys.150.2002.

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The northeast region of India is one of the world’s most significant biodiversity hotspots. One of the richest bird areas in India, it is an important route for migratory birds and home to many endemic bird species. This paper describes a literature-based dataset of species occurrences of birds of northeast India. The occurrence records documented in the dataset are distributed across eleven provinces of India, viz.: Arunachal Pradesh, Assam, Bihar, Manipur, Meghalaya, Mizoram, Nagaland, Sikkim, Tripura, Uttar Pradesh and West Bengal. The geospatial scope of the dataset represents 24 to 29 deg

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Tretiak, Vladyslav. "CREATION AND USE OF GEOSPATIAL DATA FOR MORPHOMETRIC ANALYSIS OF URBAN DEVELOPMENT USING GEOGRAPHIC INFORMATION TECHNOLOGIES." Urban development and spatial planning, no. 86 (May 31, 2024): 477–86. http://dx.doi.org/10.32347/2076-815x.2024.86.477-486.

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The modern urban environment requires an integrated approach to management and development that takes into account various aspects of urban development and quality of life. This article discusses the use of geoinformation technologies for the creation and use of a geospatial database in the context of urban development analysis and morphometric indicators. It emphasises the importance of collecting, analysing and using geodata for effective urban planning and development. The article discusses various aspects of the use of geographic information systems in urban planning, including remote sens

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Guilbert, Eric, Pawel Boguslawski, and Umit Isikdag. "Multidimensional and Multiscale GIS." ISPRS International Journal of Geo-Information 8, no. 12 (2019): 523. http://dx.doi.org/10.3390/ijgi8120523.

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The advent of new data collection technologies, such as LiDAR and drones, have made geospatial data available in large amounts and at low costs. While access to data is getting easier, geospatial tools have to evolve towards further automation and guarantee the reproducibility of the process and the quality of the results. As such, algorithms and data structures for handling geospatial data also need to be more and more robust and efficient to model complex, multidimensional geospatial phenomena in GISystems and provide higher levels of analysis. Articles in this special issue address two comp

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Kliment, T., V. Cetl, H. Tomič, J. Lisiak, and M. Kliment. "USING PARTICIPATORY APPROACH TO IMPROVE AVAILABILITY OF SPATIAL DATA FOR LOCAL GOVERNMENT." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences III-4/W1 (August 25, 2016): 139–44. http://dx.doi.org/10.5194/isprs-annals-iii-4-w1-139-2016.

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Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representatio

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Kliment, T., V. Cetl, H. Tomič, J. Lisiak, and M. Kliment. "USING PARTICIPATORY APPROACH TO IMPROVE AVAILABILITY OF SPATIAL DATA FOR LOCAL GOVERNMENT." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4/W1 (September 5, 2016): 139–44. http://dx.doi.org/10.5194/isprs-annals-iv-4-w1-139-2016.

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Nowadays, the availability of authoritative geospatial features of various data themes is becoming wider on global, regional and national levels. The reason is existence of legislative frameworks for public sector information and related spatial data infrastructure implementations, emergence of support for initiatives as open data, big data ensuring that online geospatial information are made available to digital single market, entrepreneurs and public bodies on both national and local level. However, the availability of authoritative reference spatial data linking the geographic representatio

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Casiano Flores, Cesar, Maxim Chantillon, and Joep Crompvoets. "Towards a governance assessment framework for geospatial data: A policy coherence evaluation of the geospatial data policy in Flanders." AGILE: GIScience Series 2 (June 4, 2021): 1–9. http://dx.doi.org/10.5194/agile-giss-2-23-2021.

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Abstract. Governance Assessment Frameworks allow the identification of implementation bottlenecks and they can propose answers to the identified challenges. However, no assessment framework has been developed to 1) understand how governance factors can affect the development and use of geospatial data (GD) and 2) to allow comparison across different governance contexts. Previous research proved that GD and governance are highly interrelated. Understanding the relevance of policy coherence, and aiming to address the aforementioned gap, we propose the Coherence Assessment Framework for Geospatia

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Rigolon, Alessandro, and Jeremy Németh. "A QUality INdex of Parks for Youth (QUINPY): Evaluating urban parks through geographic information systems." Environment and Planning B: Urban Analytics and City Science 45, no. 2 (2016): 275–94. http://dx.doi.org/10.1177/0265813516672212.

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Visiting urban parks regularly can provide significant physical and mental health benefits for children and teenagers, but these benefits are tempered by park quality, amenities, maintenance, and safety. Therefore, planning and public health scholars have developed instruments to measure park quality, but most of these tools require costly and time-consuming field surveys and only a handful focus specifically on youth. We rectify these issues by developing the QUality INdex of Parks for Youth (QUINPY) based on a robust literature review of studies on young people’s park visitation habits and a

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Shin, Sang-Yeop, Mona Hodaei, Aser Eissa, et al. "A Web Portal for the Management, Visualization, and Quality Control of Mobile LiDAR/Image Data along Transportation Corridors." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-G-2025 (July 12, 2025): 821–28. https://doi.org/10.5194/isprs-annals-x-g-2025-821-2025.

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Abstract. Efficient management of transportation corridors depends on the availability and effective analysis of high-quality geospatial data. Recent advancements have focused on Mobile Mapping Systems (MMS), which integrate Global Navigation Satellite System/Inertial Navigation System (GNSS/INS), Red-Green-Blue (RGB) cameras, and LiDAR units. However, the large volume of collected data and specialized software/hardware requirements often limit data accessibility and visualization by stakeholders. This study focuses on facilitating accessibility to transportation geospatial data by developing

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El-Zeiny, Ahmed M., Mohamed Sowilem, Hala A. Effat, and Kamel Mansour. "Environmental quality assessment of Assuit governorate using data observation and geospatial techniques." Egyptian Journal of Remote Sensing and Space Science 26, no. 3 (2023): 712–31. http://dx.doi.org/10.1016/j.ejrs.2023.07.009.

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Bruch, Frederick, Thomas Bartoschek, Benjamin Karic, Mario Pesch, Angela Schwering, and Mathias Pfeil. "Reviewing 10 years of openSenseMap - the open environmental data platform for (GI)Science, Education and Participation." AGILE: GIScience Series 6 (June 9, 2025): 1–7. https://doi.org/10.5194/agile-giss-6-16-2025.

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Abstract. Since its launch in 2014, openSenseMap has become a widely used platform for citizen science and environmental sensing. Over the past decade, it has enabled real-time data collection, visualization, and analysis through an open sensor network. This paper reflects on its evolution, technical advancements, and impact on geospatial research. We discuss challenges in managing an open geospatial infrastructure at scale and introduce the next-generation openSenseMap, which enhances data quality, interoperability, and usability. By sharing lessons learned and future directions, we underscor

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