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Related Concept Videos

Levels of Use of a GIS01:29

Levels of Use of a GIS

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...
Manipulation and Analysis01:21

Manipulation and Analysis

GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
Design Example: Alignment of a Road Line Using GIS01:17

Design Example: Alignment of a Road Line Using GIS

The alignment of a road line using Geographic Information Systems (GIS) is a critical process in civil engineering, combining advanced technology with practical decision-making. This methodology begins with the collection of geospatial data, including information on land cover, geomorphology, drainage patterns, slope, and contour details. Such data is typically acquired through satellite imagery and GIS tools, offering a comprehensive understanding of the terrain.Once the data is gathered, it...
Regional Terms01:12

Regional Terms

Regional terms describe anatomy by dividing the body parts into different regions that contain structures involved in contributing similar functions. Using these terms helps increase the accurate description and identification of the particular region of interest or region affected by the disease.
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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GIS Software, Hardware, and Sources of GIS Data

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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Related Experiment Video

Updated: May 30, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Toward best practices for developing regional connectivity maps.

Paul Beier1, Wayne Spencer, Robert F Baldwin

  • 1School of Forestry and Merriam-Powell Center for Environmental Research, Northern Arizona University, Flagstaff, AZ 86011-5018, USA. paul.beier@nau.edu

Conservation Biology : the Journal of the Society for Conservation Biology
|July 30, 2011
PubMed
Summary
This summary is machine-generated.

Conservation mapping needs both broad and detailed views. This study presents a 7-step method for large-scale ecological connectivity mapping, crucial for wildlife movement and gene flow across vast landscapes.

Related Experiment Videos

Last Updated: May 30, 2026

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)
12:26

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling (SAHM)

Published on: October 11, 2016

Area of Science:

  • Conservation biology
  • Landscape ecology
  • Spatial planning

Background:

  • Ecological connectivity is vital for species survival and ecosystem health, requiring both broad-scale and site-specific conservation planning.
  • Existing research often focuses on fine-grained linkage designs for small areas, leaving a gap in large-scale connectivity mapping strategies.
  • Conservation professionals require effective tools for both strategic visioning and on-the-ground interventions.

Purpose of the Study:

  • To develop and present a 7-step methodology for coarse-grained mapping of ecological connectivity across large geographic areas.
  • To provide practical recommendations for mapping natural landscape blocks and identifying feasible connections between them.
  • To guide conservation efforts by integrating technical criteria with stakeholder values for effective landscape connectivity.

Main Methods:

  • Devised a 7-step process for mapping dozens to hundreds of ecological linkages over large areas.
  • Applied the methodology across six diverse conservation projects in North America and Bhutan.
  • Recommended mapping natural landscape blocks using naturalness, protection status, barriers, and habitat quality for key species.

Main Results:

  • Identified mapping natural landscape blocks and determining feasible connections as the most challenging steps.
  • Outlined procedures for identifying and mapping functional or restorable linkages using various modeling approaches.
  • Demonstrated the application of the coarse-scale mapping approach across multiple large-scale conservation initiatives.

Conclusions:

  • A systematic, coarse-grained mapping approach is essential for large-scale conservation planning of ecological connectivity.
  • Integrating technical data with stakeholder input is critical for successful landscape block definition and linkage prioritization.
  • The outlined methods provide a flexible framework for improving conservation decision-making and implementing effective connectivity strategies.