Skip to main content

Custom User Menu

  • Log In
Home

Main navigation

  • Home
      • Table of Contents
      • How to Highlight and Take Notes
      • Acronyms
      • Figures
      • Glossary
      • File Icons
      • Footnotes and References
      • Supported Coordinate Systems
      • Chapter One Title Page
      • Section One - Introduction
      • Section Two - What is GIS?
      • Section Three - Why Do We Need A GIS?
      • Section Four - Putting it all Together: An Example
      • Section Five - Uses of GIS
      • Section Six - History of GIS
      • Chapter Two Title Page
      • Section One - Introduction
      • Section Two - Geodesy
      • Section Three - Mathematically Measuring the Earth
      • Section Four: Latitude and Longitude - One Example of a Geographic Grid
      • Section Five: Geodetic Datums: Combining Reference Ellipsoids and Geoids
      • Section Six: Geographic Coordinate Systems
      • Section Seven: Projection Methods
      • Section Eight- Projected Coordinate Systems
      • Section Nine: Just a Few Extras
      • Chapter Three Title Page
      • Section One - Introduction
      • Section Two - Vector Data
      • Section Three - Raster Data
      • Section Four - Discrete and Continuous Data
      • Section Five - Data Tables
      • Section Six - Introduction to Attribute Tables
      • Chapter Four Title Page
      • Section One - Introduction
      • Section Two - Data Models
      • Section Three - Meet ArcGIS Pro Catalog View
      • Section Four - Meet ArcGIS Pro Maps and Layouts
      • Section Five - What Are Relational Databases and Geodatabases
      • Chapter Five Title Page
      • Section One - Introduction
      • Section Two - Attribute Tables: An Overview
      • Section Three - Attribute Tables Basics
      • Section Four: Selecting Data in ArcMap - The Basics of Making Selections
      • Section Five: Using Selected Data
  • Toolbars
  • Windows Operations

Section Six - Introduction to Attribute Tables

Breadcrumb

  • Home
  • Introduction to GIS
  • Chapter Three
  • Section Six - Introduction to Attribute Tables

Attribute tables are a fundamental component of GIS Geographic Information Systems the software used to create, store, and manage spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. , analyze spatial problems, and display the data in cartographic layouts   Geographic Information Sciences data, serving as the structured storage of information about spatial features. While data tables in GIS Geographic Information Systems the software used to create, store, and manage spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. , analyze spatial problems, and display the data in cartographic layouts   Geographic Information Sciences can exist independently, attribute tables are specifically linked to spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. , providing essential details about vector features and certain types of raster data Raster data is a type of digital data that stores information about a location using a grid of pixels or cells. All spatial rasters are raster files, but not all raster files are spatial rasters. . Just as a spreadsheet contains rows and columns of information, an attribute table organizes data in a similar way, with each row representing an individual spatial feature and each column holding a specific attribute related to that feature. These attributes can include names, categories, measurements, or other descriptive data that help make spatial analysis possible.

Attribute tables are most commonly associated with vector data in any sort of digital science or art, is simply denoting a type of graphical representation using straight lines to construct the outlines of objects models, where they store information about points, lines, and polygons. Each feature in a vector dataset—whether a road, a city, or a land parcel—has a corresponding row in the attribute table, linking geographic location with meaningful descriptive information. Additionally, integer raster datasets (such as classification rasters) also use attribute tables to associate numeric values in the raster with specific categories, like different types of vegetation or soil classes. In contrast, continuous raster datasets, such as elevation the vertical distance between local mean sea level the measurement above or below the global average at a single point A GIS vector data in any sort of digital science or art, is simply denoting a type of graphical representation using straight lines to construct the outlines of objects geometry type which is made up of just one vertex pl. vertices One of a set of ordered x,y coordinate pairs that defines the shape of a line or polygon feature. , marking a single XY location in any given geographic or projected coordinate system. on the Earth's surface used for recording the elevation of topographic surface a detailed map of the surface features of land. It includes the mountains, hills, creeks, and other bumps and lumps on a particular hunk of earth. The word is a Greek-rooted combo of topos meaning "place" and graphein "to write." 's relief the difference between the highest and lowest point within a particular area while landforms are the descriptive words for individual features and a single point A GIS vector data in any sort of digital science or art, is simply denoting a type of graphical representation using straight lines to construct the outlines of objects geometry type which is made up of just one vertex pl. vertices One of a set of ordered x,y coordinate pairs that defines the shape of a line or polygon feature. , marking a single XY location in any given geographic or projected coordinate system. on the Earth's surface or temperature models, do not typically use attribute tables since their pixel The smallest unit of information in a digital image or raster map, usually square or rectangular. Often used synonymously with cell. Pixel is an abbreviation of "picture element". values represent measurements rather than categories.

Understanding how attribute tables function is essential for working with GIS Geographic Information Systems the software used to create, store, and manage spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. , analyze spatial problems, and display the data in cartographic layouts   Geographic Information Sciences data, as they enable users to filter, query, and analyze information tied to geographic features. Through attribute tables, users can perform tasks like selecting all cities with a population over a certain threshold, identifying parcels of land that fall within a designated flood zone, or symbolizing map features based on specific attributes. These operations make attribute tables a key tool in connecting raw spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. with analytical decision-making.

While this introduction provides a general overview, Chapter Five will explore attribute tables in much greater detail. There, we will examine how to navigate, edit, and manipulate attribute data, as well as how attribute tables integrate with GIS Geographic Information Systems the software used to create, store, and manage spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. , analyze spatial problems, and display the data in cartographic layouts   Geographic Information Sciences workflows. For now, it is important to understand that attribute tables serve as the bridge between spatial features and the descriptive information that makes GIS Geographic Information Systems the software used to create, store, and manage spatial data Data that deals with location, such as lists of addresses, the footprint of a building, the boundaries of cities and counties, etc. , analyze spatial problems, and display the data in cartographic layouts   Geographic Information Sciences a powerful tool for analysis.

Figure 3.19: A Typical Attribute Table with Labels
  • <   Section Five - Data Tables Section Five
  • Up
  • Chapter Four - Data Organization and Meet Your GIS Chapter Four   >