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Contributions to a quality description of areal objects in spatial data sets
spatial data quality comparison of spatial entities building extraction
2016/5/20
In this paper we present a quality evaluation of two-dimensional building acquisition. We propose methods for identification and quantifi-cation of differences between independently acquired regions, ...
Integrated use of spatial data and learning algorithms to detect water quality trends
Integrated spatial data learning algorithms detect water quality trends
2016/5/20
This paper presents the first results of a study which investigates river basin water quality management based on the ability of GIS to integrate different data sources into a common geographical data...
3D spatial data integration for avalanche risk management
digital terrain model orthophoto thematic mapping data integration avalanche risk management
2016/5/20
The southern part of the Alps is interested by frequent avalanche phenomena. It is very important to provide a suitable method to manage avalanche risk. The usual approach is based on the mapping of t...
RESEARCH ON VEHICLE-BORNE SYSTEM OF 3D SPATIAL DATA ACQUISITION BASED ON POS AND LASER RANGING TECHNOLOGY
POS Laser Scanner CCD Distance Measurement Indicator Vector Sensor Data Acquisition
2016/3/17
Ground spatial data acquisition is a key technology in digital city engineering, It is important to improve the efficiency of data acquisition. The main purpose of this paper is to develop vehicle-bor...
CLOUD-BASED SERVICE FOR BIG SPATIAL DATA TECHNOLOGY IN EMERGENCE MANAGEMENT
Cloud-based service Big Spatial Data Technology Emergence Management
2016/3/17
Following the development of spatial information acquisition technology, more and more spatial data have been collected through various approaches. There has been a full utilization of geospatial info...
Mapping Spatial Data Infrastructures to a Grid Environment for Optimized Processing of Large Amounts of Spatial Data
Spatial Data Infrastructure Distributed Processing Grid Computing Service Chains
2015/12/18
Within the scope of processing large amounts of data and complex calculations the use of grid computing is a good choice for achieving high performance, because processing of extensive spatial data ca...
A 3D GIS's Spatial Data Model Based on Cell Complex
3D GIS non manifold cell complex spatial data model spatial data structure
2015/12/3
Based on cell complex theory, after analyzing the corresponding relationship among cell, cell complex and 3D spatial solid, a formal definition for 3D spatial solid is presented. Through analyzing the...
Registration of Spatial data Based on PCA
Registration PCA Coordinate Transformation Spatial Data
2015/12/2
Registration of spatial data based on PCA is advanced in the paper. The principle is that principal components of spatial data set are changed with the coordinate system. For two spatial data sets of ...
THE IMPACT OF SPATIAL DATA QUALITY ON COMPANY’S DECISION MAKING
Spatial data spatial information business information analysis decision-making benefit
2015/9/28
The impact of spatial data quality on decision-making depends on the role of the geographic information system (GIS) in the company. The requirements for data quality are different depending on whethe...
WHAT COMMUNICATES QUALITY TO THE SPATIAL DATA CONSUMER?
spatial data quality consumers communication
2015/9/28
For almost 20 years now, spatial data providers have been creating and publishing metadata records for their products. One intention of the metadata, which includes detailed data quality information, ...
FOUR ADVANCES IN HANDLING UNCERTAINTIES IN SPATIAL DATA AND ANALYSIS
uncertainty quality control spatial data spatial analysis spatial model
2015/9/28
Data quality and uncertainty modeling for spatial data and spatial analyses is regarded as one of the disciplines of geographic information science together with space and time in geography, as well a...
SPATIAL DATA QUALITY AND A WORKFLOW TOOL
Spatial Data Quality Communication Producer Consumer Fitness for Use Open Data LPIS ETS
2015/9/21
Although by many perceived as important, spatial data quality has hardly ever been taken centre stage unless something went wrong due to bad quality. However, we think this is going to change soon. We...
CARTOGRAPHIC REPRESENTATION OF SPATIAL DATA QUALITY IN VGI FOR USERS WITH DIFFERENT SEMANTICS
Spatial Data Quality Users’ Semantics VGI Positional Accuracy Completeness
2015/9/21
Volunteered geographic information is constantly being added, edited or removed by users. Most of VGI users are not experts, thus formal representation of spatial data quality parameters through metad...
ONTOLOGY BASED QUALITY EVALUATION FOR SPATIAL DATA
spatial data quality rule based evaluation data quality evaluation spatial ontology GeoSPARQL SWRL
2015/9/21
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 ...
USING SPATIAL DATA MINING TECHNIQUES TO REVEAL VULNERABILITY OF PEOPLE AND PLACES DUE TO OIL TRANSPORTATION AND ACCIDENTS: A CASE STUDY OF ISTANBUL STRAIT
Spatial Analysis Spatial Statistics Spatial Data Mining Vulnerability Spatial Data Warehousing
2015/8/31
Public and private organizations have legacy or operational spatial databases or non-spatial databases, which are also somehow
linked to a spatial database or a spatial meaning. In addition to missi...