Spatial Data Uncertainty and Quality Control

2021 ◽  
pp. 531-555
Author(s):  
Changqing Zhu ◽  
Fanghua Wu
Keyword(s):  
Quality Control ◽  
Spatial Data ◽  
Data Uncertainty

Organization of quality control system of geodetic and cartographic works in the conduct of regional spatial data funds

2019 ◽  
Vol 63 (6) ◽  
pp. 701-707
Author(s):  
Portnov A.M. ◽  
◽  
Sirotkina L.E. ◽  
Baranchuk K.A. ◽  
◽  
...  
Keyword(s):  
Quality Control ◽  
Control System ◽  
Spatial Data ◽  
Quality Control System

A total entropy model of spatial data uncertainty

2006 ◽  
Vol 32 (4) ◽  
pp. 316-323 ◽  
Author(s):  
Y. F. Shi ◽  
F. X. Jin ◽  
M. Y. Li
Keyword(s):  
Spatial Data ◽  
Data Uncertainty ◽  
Total Entropy ◽  
Entropy Model

scholarly journals Impact of spatial data uncertainty in debris flow susceptibility analysis

2021 ◽  
Author(s):  
Laurie Jayne Kurilla ◽  
Giandomenico Fubelli
Keyword(s):  
Debris Flow ◽  
Maximum Entropy ◽  
Spatial Data ◽  
Data Uncertainty ◽  
Susceptibility Map ◽  
Contributing Factors ◽  
European Continent ◽  
Value Differences ◽  
The Impact ◽  
Debris Flow Susceptibility

Abstract. In a study of debris flow susceptibility on the European continent, an analysis of the impact between known location and a location accuracy offset for 99 debris flows, demonstrates the impact of uncertainty in defining appropriate predisposing factors, and consequent analysis for areas of susceptibility. The dominant predisposing environmental factors, as determined through Maximum Entropy modeling, are presented, and analyzed with respect to the values found at debris flow event points versus a buffered distance of locational uncertainty around each point. Five Maximum Entropy susceptibility models are developed utilizing the original debris flow inventory of points, randomly generated points, and two models utilizing a subset of points with an uncertainty of 5 km, 1 km, and a model utilizing only points with a known location of “exact”. The AUCs are 0.891, 0.893, 0.896, 0.921, and 0.93, respectively. The “exact” model, with the highest AUC, is ignored in final analyses due to the small number of points, and localized distribution, and hence susceptibility results likely non-representational of the continent. Each model is analyzed with respect to the AUC, highest contributing factors, factor classes, susceptibility impact, and comparisons of the susceptibility distributions and susceptibility value differences. Based on model comparisons, geographic extent and context of this study, the models utilizing points with a location uncertainty of less than or equal to 5 km best represent debris flow susceptibility of the continent of Europe. A novel representation of the uncertainty is expressed, and included in a final susceptibility map, as an overlay of standard deviation and mean of susceptibility values for the two best models, providing additional insight for subsequent action.

scholarly journals Creation (updating) digital topographic maps for the forming the main state topographic map

2021 ◽  
Vol 41 (I) ◽  
pp. 113-122
Author(s):  
N. LAZORENKO-HEVEL ◽  
◽  
Yu. KARPINKYI ◽  
D. KIN ◽  
◽  
...  
Keyword(s):  
Quality Control ◽  
Spatial Data ◽  
Knowledge Bases ◽  
International Standards ◽  
Topographic Maps ◽  
Practical Significance ◽  
Topographic Map ◽  
Topological Relations ◽  
The Creation ◽  
Automated Quality Control

Purpose. The purpose of the article is to research the peculiarities of creation (updating) of digital topographic maps at the scale of 1:50 000/1:10 000 which would satisfy the requirements for the development of the seamless Topographic Database of the Main State Topographic Map at the scale of 1:50 000. Methodology. The basis for the research is the analysis of the possibilities of applying the theory of databases and knowledge bases, International Standards and specifications and vectorization method. Results. The article examines the peculiarities of creation (updating) digital topographic maps of the scale 1:50000 for the formation of the Main State Topographic Map of Ukraine for the purpose of the creation and maintain the seamless topographic database for national needs, which is located on the Geoportal to ensure the relevance of a single digital topographic basis by topographical monitoring of the territories and for the development of the National Spatial Data Infrastructure in Ukraine. The rules of topological relations between features of the digital topographic maps of the scale 1:50 000 are also defined and given. The peculiarities of providing automated quality control of updated digital topographic maps are investigated. The creation of the seamless Topographic Database of the Main State Topographic Map in the conditions of transfer the cartographic paradigm to geoinformation creates new requirements for the creation (updating) of digital topographic maps of the scale 1:50 000/10 000: creation of spatial schemes, description of the internal design of models and rules of digital description of geospatial features, unification of the features catalog and their attributes, as well as rules of topology between topographic features to ensure topological consistency of geometry in accordance with standards and specifications; creation of the “Validate” software package for checking of created (updated) digital topographic maps at a scale of 1:50 000/10 000 to ensure automated quality control of updated digital topographic maps; creation of new virtual and associated features in the TDB of the Main State Topographic Map. This will increase the intellectual level of geospatial data creation. Scientific novelty and practical significance. The creation of the Main Topographic Map Topographic Database takes into account the use of new virtual and associated features, the use of rules of topological relations between digital topographic map features, providing automated quality control of updated digital topographic maps.

Spatial Data Uncertainty

2018 ◽  
pp. 313-340 ◽  
Author(s):  
Linna Li ◽  
Hyowon Ban ◽  
Suzanne P. Wechsler ◽  
Bo Xu
Keyword(s):  
Spatial Data ◽  
Data Uncertainty

scholarly journals SPATIAL DATA UNCERTAINTY IN A WEBGIS TOOL SUPPORTING SEDIMENTS MANAGEMENT IN WALLONIA

2015 ◽  
Vol XL-3/W3 ◽  
pp. 625-628
Author(s):  
N. R. Stéphenne ◽  
B. Beaumont ◽  
M. Veschkens ◽  
S. Palm ◽  
C. Charlemagne
Keyword(s):  
Spatial Data ◽  
Web Application ◽  
Data Uncertainty ◽  
Special Focus ◽  
Central Administration ◽  
Communication Tool ◽  
Map Scale ◽  
Search Quality ◽  
Potential Pollution

This paper describes a WebGIS prototype developed for the Walloon administration to improve the communication and the management of sediments dredging actions carried out in rivers and lakes. In Wallonia, levelling dredged sediments on banks requires an official authorization from the administration. This request refers to geospatial datasets such as the official land use map, the cadastral map or the distance to potential pollution sources. Centralising geodatabases within a web interface facilitate the management of these authorizations for the managers and the central administration. The proposed system integrates various data from disparate sources. Some issues in map scale, spatial search quality and cartographic visualisation are discussed in this paper with the solutions provided. The prototype web application is currently discussed with some potential users in order to understand in which way this tool facilitate the communication, the management and the quality of the authorisation process. The structure of the paper states the why, what, who and how of this communication tool with a special focus on errors and uncertainties.

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