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Liability Associated with Geographic Information
Legal liability refers to a subjection to a legal obligation or the obligation itself. In the language of the law, one becomes “liable” or incurs a legal liability when one commits a wrong or breaks a contract or trust. Legal liability may be either civil or criminal according to whether it is enforced in a civil or criminal court of law. Creating, providing, and/or using geographic information (GI) may attract obligations of a legal nature. For creators, providers, and users of GI, legal liabilities may stem from a failure to fulfill or comply with the term of a written or oral agreement through to wrongful acts (torts), including the failure to act and causing another party to suffer harm, economic loss, or damage.
Contractual Liability
The contract for the provision of GI or GI services may often specify a quality standard, for example, a required scale, resolution, or accuracy to some national or international standard. How the contract is fulfilled, such as the type and quality of the media on which the data, product, or service is to be delivered or maintained; the time of delivery, including the updating of the data; and the privity or exclusivity of the data, may be other terms of the contract that a provider or vendor must fulfill in order to avoid being sued. Users of GI may become subject to legal obligations to the provider or vendor when they fail to comply with provisions of the contract or use the GI products beyond the intended limits outlined in the contract. Examples of usage beyond the contract include applying data that is known to be inaccurate, incomplete, or misleading and that might negatively impact persons or property. Also, using data incorrectly, whether intentionally or otherwise, creates a tort liability.
Tort Liability
A principle of tort law includes a duty of care, the breach of which leads to economic loss, damage to property and/or injury to persons. Tort liability, in the GI context, arises when the provider, vendor, or user of that data directly causes harm, economic loss, or damage to the property of others. Hence, making decisions based on inaccurate GI or providing error-riddled data may result in a tort liability. A failure to check and correct errors is considered to be negligent. Even the misuse of accurate GI may also be deemed a legal wrong when a loss or harm is the result. Other examples include a vendor representing the suitability of a data set or a user extending GI interpretations beyond what the data were capable of. Thus, legal liability risks are very high when using GI of unknown heritage, with unknown error ranges, poorly articulated standards of accuracy, and undefined attributes. Equally, one may be made responsible for simple mistakes of judgment, measurement, and interpretation.
Negligence as a Tort
The law of negligence protects people and their property from the careless behavior of other members of the community. To succeed in an action of negligence, there must be a duty owed, a failure to observe that duty, and damages or loss suffered as a result. Hence, a person is deemed negligent when that person falls below the standard of care that a “reasonable person” (for example, a prudent driver of a motor car, see below) placed in the same circumstances would have observed. An intentional misrepresentation of facts is deemed to be fraudulent, for which legal sanctions can be severe. An example where providers or vendors of GI products could be exposed to either type of liability is misrepresenting that the data provided are error free or are of a particular standard. When using data from global positioning systems (GPS), for example, the specification of the data standards, known biases, and error sources should be carefully documented.
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- Analytical Methods
- Analytical Cartography
- Cartographic Modeling
- Cost Surface
- Cost-Benefit Analysis
- Data Mining, Spatial
- Density
- Diffusion
- Ecological Fallacy
- Effects, First- and Second-Order
- Error Propagation
- Exploratory Spatial Data Analysis (ESDA)
- Fragmentation
- Geocoding
- Geodemographics
- Geographical Analysis Machine (GAM)
- Geographically Weighted Regression (GWR)
- Georeferencing, Automated
- Geostatistics
- Geovisualization
- Image Processing
- Interpolation
- Intervisibility
- Kernel
- Location-Allocation Modeling
- Minimum Bounding Rectangle
- Modifiable Areal Unit Problem (MAUP)
- Multicriteria Evaluation
- Multidimensional Scaling (MDS)
- Multivalued Logic
- Network Analysis
- Optimization
- Outliers
- Pattern Analysis
- Polygon Operations
- Qualitative Analysis
- Regionalized Variables
- Slope Measures
- Spatial Analysis
- Spatial Autocorrelation
- Spatial Econometrics
- Spatial Filtering
- Spatial Interaction
- Spatial Statistics
- Spatial Weights
- Spatialization
- Spline
- Structured Query Language (SQL)
- Terrain Analysis
- Cartography and Visualization
- Analytical Cartography
- Cartograms
- Cartography
- Choropleth Map
- Classification, Data
- Datum
- Generalization, Cartographic
- Geovisualization
- Isoline
- Legend
- Multiscale Representations
- Multivariate Mapping
- National Map Accuracy Standards (NMAS)
- Normalization
- Projection
- Scale
- Shaded Relief
- Symbolization
- Three-Dimensional Visualization
- Tissot's Indicatrix
- Topographic Map
- Virtual Environments
- Visual Variables
- Conceptual Foundations
- Accuracy
- Aggregation
- Cognitive Science
- Direction
- Discrete versus Continuous Phenomena
- Distance
- Elevation
- Extent
- First Law of Geography
- Fractals
- Geographic Information Science (GISci)
- Geographic Information Systems (GIS)
- Geometric Primitives
- Isotropy
- Layer
- Logical Expressions
- Mathematical Model
- Mental Map
- Metaphor, Spatial and Map
- Nonstationarity
- Ontology
- Precision
- Representation
- Sampling
- Scale
- Scales of Measurement
- Semantic Interoperability
- Semantic Network
- Spatial Autocorrelation
- Spatial Cognition
- Spatial Heterogeneity
- Spatial Reasoning
- Spatial Relations, Qualitatitve
- Topology
- Uncertainty and Error
- Data Manipulation
- Data Modeling
- z-Values
- Computer-Aided Drafting (CAD)
- Data Modeling
- Data Structures
- Database Management System (DBMS)
- Database, Spatial
- Digital Elevation Model (DEM)
- Discrete versus Continuous Phenomena
- Elevation
- Extensible Markup Language (XML)
- Geometric Primitives
- Index, Spatial
- Integrity Constraints
- Layer
- Linear Referencing
- Network Data Structures
- Object Orientation (OO)
- Open Standards
- Raster
- Scalable Vector Graphics (SVG)
- Spatiotemporal Data Models
- Structured Query Language (SQL)
- Tessellation
- Three-Dimensional GIS
- Topology
- Triangulated Irregular Networks (TIN)
- Virtual Reality Modeling Language (VRML)
- Design Aspects
- Geocomputation
- Geospatial Data
- Accuracy
- Address Standard, U.S.
- Attributes
- BLOB
- Cadastre
- Census
- Census, U.S.
- Computer-Aided Drafting (CAD)
- Coordinate Systems
- Data Integration
- Datum
- Digital Chart of the World (DCW)
- Digital Elevation Model (DEM)
- Framework Data
- Gazetteers
- Geodesy
- Geodetic Control Framework
- Geography Markup Language (GML)
- Geoparsing
- Georeference
- Global Positioning System (GPS)
- Interoperability
- LiDAR
- Linear Referencing
- Metadata, Geospatial
- Metes and Bounds
- Minimum Mapping Unit (MMU)
- National Map Accuracy Standards (NMAS)
- Natural Area Coding System (NACS)
- Photogrammetry
- Postcodes
- Precision
- Projection
- Remote Sensing
- Scale
- Semantic Network
- Spatial Data Server
- Standards
- State Plane Coordinate System
- TIGER
- Topographic Map
- Universal Transverse Mercator (UTM)
- Organizational and Institutional Aspects
- Address Standard, U.S.
- Association of Geographic Information Laboratories for Europe (AGILE)
- Canada Geographic Information System (CGIS)
- Census, U.S.
- Chorley Report
- Coordination of Information on the Environment (CORINE)
- COSIT Conference Series
- Data Access Policies
- Data Warehouse
- Digital Chart of the World (DCW)
- Digital Earth
- Digital Library
- Distributed GIS
- Enterprise GIS
- Environmental Systems Research Institute, Inc. (ESRI)
- ERDAS
- Experimental Cartography Unit (ECU)
- Federal Geographic Data Committee (FGDC)
- Framework Data
- Geomatics
- Geospatial Intelligence
- GIS/LIS Consortium and Conference Series
- Google Earth
- GRASS
- Harvard Laboratory for Computer Graphics and Spatial Analysis
- IDRISI
- Intergraph
- Interoperability
- Land Information Systems
- Life Cycle
- Location-Based Services (LBS)
- Manifold GIS
- MapInfo
- Metadata, Geospatial
- MicroStation
- National Center for Geographic Information and Analysis (NCGIA)
- National Geodetic Survey (NGS)
- National Mapping Agencies
- Open Geospatial Consortium (OGC)
- Open Source Geospatial Foundation (OSGF)
- Open Standards
- Ordnance Survey (OS)
- Quantitative Revolution
- Software, GIS
- Spatial Data Infrastructure
- Spatial Decision Support Systems
- Standards
- U.S. Geological Survey (USGS)
- University Consortium for Geographic Information Science (UCGIS)
- Web GIS
- Web Service
- Societal Issues
- Access to Geographic Information
- Copyright and Intellectual Property Rights
- Critical GIS
- Cybergeography
- Data Access Policies
- Digital Library
- Economics of Geographic Information
- Ethics in the Profession
- Geographic Information Law
- Historical Studies, GIS for
- Liability Associated With Geographic Information
- Licenses, Data and Software
- Location-Based Services (LBS)
- Privacy
- Public Participation GIS (PPGIS)
- Qualitative Analysis
- Quantitative Revolution
- Spatial Literacy
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