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Related Concept Videos

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Levels of Use of a GIS01:29

Levels of Use of a GIS

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Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
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Introduction to GIS01:28

Introduction to GIS

707
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
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Graphical Representation of Inequalities01:28

Graphical Representation of Inequalities

355
The graph of the equation where y equals x squared forms a curve known as a parabola. This curve acts as a boundary in the coordinate plane, dividing it into distinct regions based on the relative position of points.When the equality sign in the equation is replaced with an inequality—such as greater than, less than, greater than or equal to, or less than or equal to—the graphical representation changes from a single curve into a broader shaded area that signifies the set of all...
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Plotting of Topographic Maps01:29

Plotting of Topographic Maps

700
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
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GeoGraphNetworks: A comprehensive benchmark dataset for accurate and scalable graphical representations.

Harish Sharma1, Peter Mooney1, Edgar Galván1

  • 1Naturally Inspired Computation Research Group and Hamilton Institute, Department of Computer Science, National University of Ireland Maynooth, Maynooth, Ireland.

Data in Brief
|March 20, 2026
PubMed
Summary
This summary is machine-generated.

GeoGraphNetworks provides 110 validated spatial networks for road, rail, and river systems. This data repository simplifies geospatial processing for transportation and urban planning research.

Keywords:
Geographic information system (GIS)Graph representation of infrastructureNetworkX GraphsOpen Geospatial DataTransportation and river networks

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Area of Science:

  • Geographic Information Systems (GIS)
  • Network Science
  • Computational Geography

Background:

  • Accurate spatial networks are crucial for transportation, urban planning, ecology, and network science research.
  • ESRI Shapefiles, a common geospatial data source, require complex processing for network analysis.

Purpose of the Study:

  • To present the GeoGraphNetworks data repository, offering validated spatial networks.
  • To reduce technical barriers in geospatial processing for researchers.

Main Methods:

  • Compiled 110 validated spatial networks for road, rail, and river systems.
  • Provided graph representations in JSON and XLSX formats.
  • Included detailed geographic information: node coordinates, edge connectivity, and lengths.

Main Results:

  • The GeoGraphNetworks repository offers ready-to-use spatial network data.
  • Eliminates the need for complex geospatial processing for users.
  • Facilitates immediate application across various programming environments.

Conclusions:

  • GeoGraphNetworks lowers technical barriers for spatial network research.
  • Supports reproducible and scalable research across multiple disciplines.
  • Enhances accessibility of spatial network resources for scientific inquiry.