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Spatial Cognition
Spatial cognition is usually defined as a process involving the sensing, encoding, storing, internal manipulation, decoding, and representing and using of information about the environment that is stored in long-term memory. While the field of spatial cognition is very broad and merits an encyclopedia of its own, this entry introduces some concepts of the field and illustrates their relationship to geographic information systems (GIS) and geographic information science (GISci).
It is generally hypothesized that humans learn about environments by sensing and experiencing them and thus are capable of encoding and storing data in long-term memory, manipulating data to create information (usually in working memory), and decoding the result and externally representing the construed information in some form of spatial product (e.g., map, diagram, graph, speech, writing, art, sculpture, dance, gesture). This collection of spatial information is used to form an individual's cognitive map. The cognitive map facilitates learning about environments and the spatial relationships among environmental features. The cognitive map and the foundations of spatial cognition are considered to be cultural universals and are analogous to the functionalities of GIS. This concept of universality in humans is based on the organizational similarities of the human nervous system among different cultures, common sensory and motor processes, similarities in learning processes, a universal need to cope with complex physical environments, the presence of processes needed for dealing with spatial relations and using spatial thinking and reasoning, use of multiple reference frames (egocentric, exocentric, and environment related), and the ability to deal with changes of scale in the spatial domain.
The existence of spatial cognition can be revealed by solving problems; performing tasks (e.g., navigation and wayfinding); being able to construct external representations (spatial products) of information encoded, stored, manipulated, and externalized; the effective use of spatial language to communicate; and the ability to spatialize nonspatial data or information (e.g., ages, income).
Montello has defined four scales of spatial awareness: microscale(the scale of nanotechnology or the microscope), figural scale (the scale of the environment within physical reach of the body), environmental scale(which includes the local perceptual environment through which one moves on a daily basis), and geographic scale(the scale that cannot be immediately perceived from any single viewpoint). Gigantic scale(the scale of the entire world or beyond) can be added to these. GISci concentrates primarily on environmental scales and above. Consequently, the term geocognition may be used as that subset of the more general process of spatial cognition that applies largely to the geographic scale. Since most geographic environments cannot be apprehended with a single glance, a single trip, or from a single viewpoint, environmental knowing must proceed by manipulating or integrating bits of sensed data stored in long-term memory and recalled for some particular purpose or by examining representations of geographic environments.
As detailed elsewhere in this volume, GIS are systems that include software and hardware that aids in representing, analyzing, and visualizing spatial data. Two processes are important: the spatializations of nonspatial information (e.g., mapping nonspatial information, such as age, sex, and housing quality, into a set of regions) and geovisualization (the representation of digitized spatial or geospatial data for display on a computer screen or to generate maps, graphs, or images in hard-copy format). To accomplish these objectives, a GIS uses a variety of functionalities to order, arrange, represent, and analyze spatial information. There are many instances in which a one-to-one matching of GIS functionalities and traditional cognitive processes can be found. In one sense, therefore, GIS analyze and represent data in a digital environment in a way that matches how data are manipulated, decoded, and used in a cognitive environment.
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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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