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FORMAL LANGUAGES FOR EXPRESSING DATA CONSISTENCY RULES AND IMPLICATIONS FOR REPORTING OF QUALITY METADATA
Re-use rules metrics mining languages metadata
2015/9/28
Over the past thirty years, in excess of 36 billion dollars has been invested in the collection of spatial information across the public sector in Europe (PIRA, 2000). There is a clear imperative now ...
THE NATURE OF PRISMS: EXPLORING DATA QUALITY AND VAGUENESS IN DYNAMIC SPATIO-TEMPORAL CONSTRUCTS
Space-time data models lifelines vagueness uncertainty space-time prism rod-field model
2015/9/28
Hagerstrand's minimalist representation of individual lives and opportunities as lifelines and prisms predates the technologies available to current GIScience but resonates with many emerging spatio-t...
LOGICAL CONSISTENCY FOR VAGUE SPATIOTEMPORAL OBJECTS AND RELATIONS
spatio–temporal vagueness spatio–temporal databases spatial data quality logical consistency integrity constraints
2015/9/28
Vagueness is often considered as an inherent property of spatiotemporal phenomena. In order to reduce this vagueness, integrity constraints should be defined to improve logical consistency of spatiote...
Quality Assessment in Spatial Clustering of Data Mining
Spatial Data Mining Quality Assessment Clustering Compactness Separation
2015/9/28
Because of the use of computers and its advances in scientific data handling and advancement of various geo and space borne sensors, we are now faced with a large amount of data. Therefore, the develo...
STORING AND QUERYING SPATIALLY VARYING DATA QUALITY INFORMATION USING AN INTEGRATED SPATIAL RDBMS
quality spatial variation metadata sub-feature variation spatial database
2015/9/28
Current representations of spatial data quality (SDQ) do not adequately represent the spatial variation of SDQ. For example, a user who wants to know the positional accuracy of a feature usually has t...
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...
TRUSTING CROWDSOURCED GEOSPATIAL SEMANTICS
Crowdsourcing Semantics Ontology Data quality Trust
2015/9/21
The degree of trust one can place in information is one of the foremost limitations of crowdsourced geospatial information. As with the development of web technologies, the increased prevalence of sem...
CALIBRATING CELLULAR AUTOMATA OF LAND USE/COVER CHANGE MODELS USING A GENETIC ALGORITHM
Stochastic spatial simulation Genetic algorithm Amazon deforestation landscape pattern fragmentation connectivity
2015/9/21
Spatially explicit land use / land cover (LUCC) models aim at simulating the patterns of change on the landscape. In order to simulate landscape structure, the simulation procedures of most computatio...
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...
ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA
Modifiable areal unit problem Scale Aggregation Spatial analysis Deforestation drivers
2015/9/21
In order to identify drivers of land use / land cover change (LUCC), the rate of change is often compared with environmental and socio-economic variables such as slope, soil suitability or population ...
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...
GENERALISATION AND DATA QUALITY
Data Quality Quality Criteria Automatic Generalisation Validation Fitness for Purpose
2015/9/21
The quality of spatial data has a massive impact on its usability. It is therefore critical to both the producer of the data and its users. In this paper we discuss the close links between data qualit...
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 ...
UAV DATA PROCESSING FOR RAPID MAPPING ACTIVITIES
rapid disaster mapping accuracy of classification
2015/9/21
During disaster and emergency situations, geospatial data plays an important role to serve as a framework for decision support system. As one component of basic geospatial data, large scale topographi...
As a preliminary to the studies conducted by the individual Working Groups, a review has been undertaken of topics which are relevant to the space-weather phenomena that can occur. The ways in general...