ArcGIS
desktop.arcgis.com › en › arcmap › latest › extensions › 3d-analyst › discrete-and-continuous-data-in-3d-analyst.htm
Discrete and continuous data—ArcMap | Documentation
Discrete data, also known as categorical or discontinuous data, mainly represents objects in both the feature and raster data storage systems. A discrete object has known and definable boundaries. It is easy to define precisely where the object begins and ends.
Geography Realm
geographyrealm.com › home › articles › what is continuous versus discrete data in gis?
What is Continuous Versus Discrete Data in GIS? - Geography Realm
August 13, 2024 - Discrete data is geographic data that only occurs in specific locations. For polygon data, discrete data has well defined boundaries. Point and line GIS data such as tree locations, rivers, and streets all fall into the category of discrete datasets.
Videos
Geospatial
vector.geospatial.science › textbook › chapter-three › discrete-and-continuous-data
Section Four - Discrete and Continuous Data | Vector Based GIS
For example, a vector layer showing the continental United States is considered discrete data Discrete data, which is sometimes called thematic, categorical, or discontinuous data, most often represents objects in both the feature (vector) and raster data Raster data is a type of digital data ...
Esri Support
support.esri.com › en-us › gis-dictionary › discrete-data
Discrete Data Definition | GIS Dictionary
A to Z GIS | Explore this related guide, featuring updated terms and graphics and developed in coordination with Esri’s GIS Dictionary team. ... [data architecture, geography] Data that represents phenomena with distinct boundaries. Property ...
ArcGIS
desktop.arcgis.com › en › arcmap › 10.3 › manage-data › raster-and-images › discrete-and-continuous-data.htm
Discrete and continuous data—Help | ArcGIS for Desktop
Discrete data, which is sometimes called thematic, categorical, or discontinuous data, most often represents objects in both the feature (vector) and raster data storage systems. A discrete object has known and definable boundaries: it is easy to define precisely where the object begins and ...
Quizlet
quizlet.com › 423611526 › geog-463-chapter-1-quiz-flash-cards
GEOG 463 Chapter 1 Quiz Flashcards | Quizlet
Discrete data are objects in the real world with specific locations or boundaries while continuous data represent quantities that may be measured anywhere in the world. Discrete: road, city, country Continuous: temperature, elevation, relative ...
University of Connecticut
guides.lib.uconn.edu › c.php
Spatial Data Models - Geographic Information Systems (GIS) - LibGuides at University of Connecticut
Raster data can represent discrete values, as well as continuous data values, or values that fall within an infinite spectrum of numbers that can be measured to any decimal place. In GIS, we store raster data using cells/pixels organized into a grid, and each cell represents a data value. Some examples of data that are stored as rasters include: ... Imagery is a type of raster data captured by cameras, drones, planes, and satellites of our world.
Reddit
reddit.com › r/gis › is my data discrete or continuous?
r/gis on Reddit: Is my data discrete or continuous?
October 25, 2023 -
Hi! I am doing a project for a GIS class and one of the requirements is to include modeling or analysis using a continuous field. My project proposal was using LandSAT bands to determine turbidity in a water body. I am following the methodology of a paper that uses an equation to convert two LandSat bands into turbidity values (FNU). Are these values continuous or discrete? I got brief feedback from my professor that I need to include some sort of continuous data and I am unsure how the turbidity values are not considered continuous? Any ideas how I can include some continuous data into my project if turbidity is discrete? Thanks for the help, I am not the best at GIS and this class is way harder than I expected.
Top answer 1 of 4
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Physical measurements, like reflectance from Landsat or water turbidity, are typically continuous. Discrete raster data are things like counts and representation of categorical values (like classification). The only type of direct, discrete measurement I can think of is if you're only measuring occurence of something (which is basically binary classification if you count occurences it's no longer just classification). EDIT: corrected clarification of discrete data based on comment below
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Cool project! Post results here when you have them?
ArcGIS
resources.arcgis.com › en › help › main › 10.1 › 00q8 › 00q8000000n8000000.htm
ArcGIS Help 10.1 - Discrete and continuous data
Discrete data, also known as categorical or discontinuous data, mainly represents objects in both the feature and raster data storage systems. A discrete object has known and definable boundaries. It is easy to define precisely where the object begins and ends.
Esri
webhelp.esri.com › arcgisdesktop › 9.3 › index.cfm
ArcGIS Desktop Help 9.3 - Discrete and continuous data in 3D Analyst
April 24, 2009 - We cannot provide a description for this page right now
Esri
webhelp.esri.com › arcgisdesktop › 9.3 › index.cfm
ArcGIS Desktop Help 9.3 - Discrete and continuous data
November 12, 2009 - We cannot provide a description for this page right now
Gis
wiki.gis.com › what is gis › gis resources
GIS Concepts, Technologies, Products, & Communities
May 6, 2024 - Learn about geographic information system (GIS) concepts, technologies, products, and communities. ... GIS is a spatial system that creates, manages, analyzes, and maps all types of data.
MGISS
mgiss.co.uk › the-different-types-of-gis-data
The Different Types of GIS Data | MGISS
March 12, 2025 - For instance, in digital elevation ... above or below sea level. Discrete Data – Discrete rasters have a specific theme or class, and each pixel is assigned to a specific class....
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ArcGIS
desktop.arcgis.com › en › arcmap › 10.3 › guide-books › extensions › 3d-analyst › discrete-and-continuous-data-in-3d-analyst.htm
Discrete and continuous data—Help | Documentation
Discrete data, also known as categorical or discontinuous data, mainly represents objects in both the feature and raster data storage systems. A discrete object has known and definable boundaries. It is easy to define precisely where the object begins and ends.
Esri
esri.com › home › what’s special about geospatial data?
What’s Special about Geospatial Data? [For Developers]
October 1, 2025 - Discrete phenomena have clear boundaries, such as roads, parcels, or categories like land cover classes. Continuous phenomena vary gradually across space, like elevation or temperature.
Esri
webhelp.esri.com › arcgisdesktop › 9.2 › index.cfm
ArcGIS Desktop Help 9.2 - Discrete and continuous data
September 22, 2008 - We cannot provide a description for this page right now
University of California Irvine
guides.lib.uci.edu › gis › formats
Geospatial Data Formats - Geographic Information Systems (GIS) - Research Guides at University of California Irvine
March 18, 2026 - Provides a great starting point ... vector. Vector data is represented as either points, lines, or polygons. Discrete (or thematic) data is best represented as vector....
OpenGeoEdu
learn.opengeoedu.de › en › gis › vorlesung › geodatenmodellierung › diskret_vs_kontinuierlich
Discrete versus continuous objects | OpenGeoEdu
Discrete phenomena refer to objects with well-defined boundaries and spatial dimensions and spatially invariant properties, such as buildings, parcels and streets. These geoobjects - in a more narrow sense - are modelled object-based and usually represented as vector data.
MiMi
en.mimi.hu › gis › discrete_data.html
* Discrete data (GIS) - Definition - Meaning - Lexicon & Encyclopedia
Discrete data - Topic:GIS - Lexicon & Encyclopedia - What is what? Everything you always wanted to know
T-kartor
t-kartor.com › blog › an-overview-of-data-types-formats-and-uses-in-gis
An Overview of Data Types, Formats, and Uses in GIS
May 8, 2026 - Discrete data, however, represents objects or entities that can be distinctly categorized, such as roads, buildings, or public safety zones. This data is crucial for urban planning, city wayfinding, and transportation network design.