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Cartographic Modeling
Cartographic modeling is a general methodology for the analysis and synthesis of geospatial data. It has been incorporated into a number of raster-oriented geographic information systems, and it can be used to address a variety of applications in a unified manner. This is done by decomposing both data and data processing tasks into elemental units that can then be clearly and flexibly recomposed. The result is an algebra-like language in which the variables are maps and the functions are map-transforming operations. The nature of this “map algebra” can be expressed in terms of three fundamental components: a body of data, a set of data processing capabilities, and a mechanism to control that data processing. To the extent that map algebra can be regarded as a language, these components can be, respectively, characterized as nouns, verbs, and expressions.
The Nouns
The primary unit of data employed in cartographic modeling is the layer. This can be envisioned as a single-factor map. Like any map, it is a bounded plane area depicting a geographic region such that every location within that area represents a corresponding location within the region. Formally, a location is that portion of the cartographic plane that is uniquely identified by a pair of planar coordinates. In the case of raster-encoded data, it is a grid cell or pixel. As a single-factor map, each layer is one on which every location is characterized in terms of exactly one of a related set of site conditions. Thus, one layer might depict every location's soil type or its proximity to the nearest supermarket, while others might depict variations in characteristics such as population density or groundwater contamination. When multiple layers are used to represent a common region, all must be geometrically compatible with one another in terms of their spatial extent, orientation, and cartographic projection.
The set of all locations on a layer that share a common site condition is referred to as a zone, and each of a layer's zones is represented by a numerical value. This is an integer or real number that identifies a zonal condition in terms that may be either qualitative or quantitative in nature. In the case of qualitative conditions (such as soil types or land uses), these values will be nominal and may be arbitrarily assigned. In the case of quantitative conditions (such as rankings, dates, distances, or directions), values may relate to ordinal, interval, ratio, or even cyclical scales of measurement. A special “NULL” value is also used to represent the absence of any recorded site condition.
In more general settings, the term layer is sometimes used in reference to a multiple-factor map. A layer of soil types, for example, might be created such that each type is characterized not only by name but also in terms of its acidity, permeability, bearing capacity, and so on. From the perspective of cartographic modeling, each of those separate characteristics would constitute a separate layer.
The Verbs
If layers are the nouns, then the verbs of this cartographic modeling language are layer-transforming operations. Each of these operations generates output in a form (the map layer) that can then be accepted as input to any other operation. Since multiple operations can be combined in this manner, no one of those operations needs to be particularly complicated. Just as a small number of primitive algebraic functions (such as addition, subtraction, or multiplication) can be combined into an endless variety of mathematical equations, so can a concise vocabulary of elementary map algebraic operations be combined into an open-ended array of “cartographic models.”
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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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