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Symbolization
Symbolization is the process of linking geographic phenomena (i.e., real-world features and thematic data) to the graphic marks on a map. Everything seen on a map is a graphic mark. Graphic marks include point, line, area, and volumetric symbols. For example, a graphic mark in the shape of a cross might represent a hospital or in the shape of a bold red line might represent a political boundary or in the shape of a blue area might represent a lake. The goal of symbolization is to imbibe the graphic marks with meaning, that is, to have the marks portrayed so that they authentically represent or “stand for” geographic phenomena, such as schools, highways, counties, elevations, and population distributions and densities.
Symbols can be classified as either pictographic or abstract. Pictographic symbols represent real-world, tangible features such as houses, roads, rivers, and coastlines and are designed to look like or replicate the feature they are designed to represent. Abstract symbols generally take the form of a geometric shape, such as a circle, square, triangle, sphere, or column. They can represent real-world features, for example, a square for a house, but they are more often used to show the spatial variation in the quantities of a geographic variable, such as population densities and other abstract, statistical surfaces. Maps that utilize abstract symbolization, such as choropleth, graduated symbol, and isarithm maps, require a well-designed legend to describe the symbols and their associated amounts.
Symbolization requires the generalization of real-world geographic phenomena. It is heavily influenced by the scale of the map, wherein a smaller-scale map requires greater generalization. The result is that feature symbols are not drawn to scale and they may be of different dimensions than those of the real-world features they represent. For example, symbols are often drawn larger than the size that the corresponding real-world features would be if drawn to scale. Examples of this are rivers and roads that are typically drawn wider than they would be drawn if at scale, so that they will be visible on the map. In addition, at a large scale, the boundary of a city might be drawn as it appears in the real world, whereas the city might be reduced to a dot at a smaller scale.
Symbolization Process
The symbolization process is complex and is influenced by a number of factors that the cartographer must consider. These factors include the spatial characteristics of the geographic phenomena being mapped, the measurement level of the mapped data, and the graphic design variables that can be used to create different map symbols.
The Character of Geographic Phenomena
Selecting the most appropriate symbol requires knowledge of the spatial characteristic of a geographic phenomenon. Geographic phenomena can be discrete, dispersed, or continuous. Discrete phenomena are limited in spatial extent, have sharply defined boundaries, and can be enumerated and precisely measured. Examples of discrete features are buildings, roads, and parks. Dispersed phenomena are multiples of discrete phenomena that are spatially related. Examples of dispersed features include rock outcrops of the same geologic formation, fly-fishing zones along a river, and peat deposits in northern Minnesota. Continuous phenomena extend across the entire map and can grade from abrupt boundaries (e.g., land use and states) to smooth transitions from place to place (e.g., elevation and temperature).
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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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