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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 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...
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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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Surveying is the art and science of mapping the earth's surface. It involves measuring distances, angles in horizontal or vertical directions, and levels to understand the shape and size of land features. Surveying techniques are essential for various tasks, such as identifying the levels of a land area with reference to a specific point, and mapping undulations and water bodies.There are two main types of surveying: plane surveys and geodetic surveys. Plane surveys assume the earth is flat,...
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In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
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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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Operationalising place for land system science.

Michal Switalski1, Adrienne Grêt-Regamey1

  • 1Planning of Landscape and Urban Systems, ETH Zurich, HIL Stefano-Franscini-Platz 5, 8093 Zurich, Switzerland.

Sustainability Science
|January 14, 2021
PubMed
Summary

This study introduces operationalizing place and place-making in land system science. Understanding people-place interactions offers practical solutions for sustainability challenges.

Keywords:
DesignLand change modellingLand system sciencePeri-urbanisationPlacePlace-making

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Area of Science:

  • Land System Science
  • Human Geography
  • Sustainability Science

Background:

  • Land system science traditionally focuses on biophysical processes.
  • Integrating human dimensions, like the concept of place, is crucial for holistic understanding.
  • Existing research on place spans multiple disciplines, requiring synthesis for land system applications.

Purpose of the Study:

  • To operationalize the concept of place within land system science.
  • To enhance understanding of people-place interactions for sustainability.
  • To develop a conceptual model for place and place-making in land system research.

Main Methods:

  • Literature review of place studies across various research disciplines.
  • Exploration of place's limitations and potential in land systems science.
  • Development of a conceptual model for place and place-making.

Main Results:

  • Place and place-making can be operationalized within land system science.
  • A theoretical foundation for place in land systems is established.
  • The dual role of place as both product and process is demonstrated.

Conclusions:

  • Operationalizing place advances land system science and sustainability solutions.
  • The conceptual model provides a framework for future research on people-place interactions.
  • Further development is needed in understanding people-place dynamics in land systems.