Skip to main content

Spatial Entity and Spatial Object


Concepts

  1. Spatial Entity:
    Refers to any real-world feature or phenomenon that exists in a specific location and can be identified in space. This emphasizes the actual physical or conceptual presence of the feature.

  2. Spatial Object:
    Represents the digital or computational representation of a spatial entity within a Geographic Information System (GIS). This includes its geometry (e.g., points, lines, polygons) and associated attributes.

Key Distinction:
While the terms are often interchangeable, spatial entity tends to focus on the real-world phenomenon, whereas spatial object highlights its representation in GIS.


Key Terminologies

  1. Geographic Coordinates:
    Define the location of spatial entities using a coordinate system (e.g., latitude and longitude).

    • Example: A building at 40.748817° N, 73.985428° W.
  2. Geometry Types:

    • Point: Represents a single location (e.g., a well or a bus stop).
    • Line: Represents linear features (e.g., roads, rivers).
    • Polygon: Represents areas (e.g., lakes, parks, city boundaries).
  3. Attributes:
    Descriptive data linked to spatial objects. For instance, a city boundary polygon might have attributes like population, area, and administrative code.

  4. Topology:
    Defines the spatial relationships between objects, such as adjacency (two polygons sharing a boundary) or connectivity (how roads are linked).


Representation in GIS

  1. Spatial Entity:

    • A river in the real world flowing across a landscape.
    • A building that occupies a fixed area in a city.
  2. Spatial Object:

    • A river represented as a line in a GIS database.
    • A building represented as a polygon in GIS software.

Example Scenarios

  1. City Park:

    • Spatial Entity: The actual physical park with trees, walking paths, and open spaces.
    • Spatial Object: The polygon in GIS that represents the park's boundary with attributes like area, park name, and type.
  2. Road Network:

    • Spatial Entity: The actual roads connecting different locations.
    • Spatial Object: The lines in GIS, with attributes like road type, name, and length.
  3. River:

    • Spatial Entity: The actual water body flowing through a region.
    • Spatial Object: The line in GIS representing the river, with attributes like flow rate and name.
  4. Land Parcel:

    • Spatial Entity: A physical plot of land.
    • Spatial Object: The polygon in GIS representing the parcel's shape, location, and attributes like owner name, land use, and area.

Importance in GIS

  1. Analysis:
    Spatial objects enable analysis such as calculating distances (e.g., from a school to a hospital) or determining areas (e.g., forest cover).

  2. Visualization:
    GIS allows the representation of spatial entities as objects on maps for better understanding and communication of spatial patterns.

  3. Integration:
    Spatial objects can be combined with non-spatial data (e.g., census statistics) to perform complex analyses like population density mapping.

  4. Decision-Making:
    Spatial entities/objects provide critical information for urban planning, disaster management, and environmental monitoring.




Comments

Popular posts from this blog

REMOTE SENSING INDICES

Remote sensing indices are band ratios designed to highlight specific surface features (vegetation, soil, water, urban areas, snow, burned areas, etc.) using the spectral reflectance properties of the Earth's surface. They improve classification accuracy and environmental monitoring. 1. Vegetation Indices NDVI – Normalized Difference Vegetation Index Formula: (NIR – RED) / (NIR + RED) Concept: Vegetation reflects strongly in NIR and absorbs in RED due to chlorophyll. Measures: Vegetation greenness & health Uses: Agriculture, drought monitoring, biomass estimation EVI – Enhanced Vegetation Index Formula: G × (NIR – RED) / (NIR + C1×RED – C2×BLUE + L) Concept: Corrects for soil and atmospheric noise. Measures: Vegetation vigor in dense canopies Uses: Tropical rainforest mapping, high biomass regions GNDVI – Green Normalized Difference Vegetation Index Formula: (NIR – GREEN) / (NIR + GREEN) Concept: Uses Green instead of Red ...

Energy Interaction with Atmosphere and Earth Surface

In Remote Sensing , satellites record electromagnetic radiation (EMR) that is reflected or emitted from the Earth. Before reaching the sensor, radiation interacts with: The Atmosphere The Earth's Surface These interactions control how satellite images look and how we interpret them. I. Interaction of EMR with the Atmosphere When solar radiation travels from the Sun to the Earth, four main processes occur: 1. Absorption Definition: Absorption occurs when atmospheric gases absorb radiation at specific wavelengths and convert it into heat. Main absorbing gases: Ozone (O₃) → absorbs Ultraviolet (UV) Carbon dioxide (CO₂) → absorbs Thermal Infrared Water vapour (H₂O) → absorbs Infrared Concept: Atmospheric Windows These are wavelength regions where absorption is very low, allowing radiation to pass through the atmosphere. Remote sensing depends on these windows. For example, satellites like Landsat 8 use visible, near-infrared, and thermal bands located in atmospheric windows. 2. Trans...

Landsat band composition

Short-Wave Infrared (7, 6 4) The short-wave infrared band combination uses SWIR-2 (7), SWIR-1 (6), and red (4). This composite displays vegetation in shades of green. While darker shades of green indicate denser vegetation, sparse vegetation has lighter shades. Urban areas are blue and soils have various shades of brown. Agriculture (6, 5, 2) This band combination uses SWIR-1 (6), near-infrared (5), and blue (2). It's commonly used for crop monitoring because of the use of short-wave and near-infrared. Healthy vegetation appears dark green. But bare earth has a magenta hue. Geology (7, 6, 2) The geology band combination uses SWIR-2 (7), SWIR-1 (6), and blue (2). This band combination is particularly useful for identifying geological formations, lithology features, and faults. Bathymetric (4, 3, 1) The bathymetric band combination (4,3,1) uses the red (4), green (3), and coastal bands to peak into water. The coastal band is useful in coastal, bathymetric, and aerosol studies because...

Atmospheric Window

The atmospheric window in remote sensing refers to specific wavelength ranges within the electromagnetic spectrum that can pass through the Earth's atmosphere relatively unimpeded. These windows are crucial for remote sensing applications because they allow us to observe the Earth's surface and atmosphere without significant interference from the atmosphere's constituents. Key facts and concepts about atmospheric windows: Visible and Near-Infrared (VNIR) window: This window encompasses wavelengths from approximately 0. 4 to 1. 0 micrometers. It is ideal for observing vegetation, water bodies, and land cover types. Shortwave Infrared (SWIR) window: This window covers wavelengths from approximately 1. 0 to 3. 0 micrometers. It is particularly useful for detecting minerals, water content, and vegetation health. Mid-Infrared (MIR) window: This window spans wavelengths from approximately 3. 0 to 8. 0 micrometers. It is valuable for identifying various materials, incl...

Landsat 8 Band designation and Band Combination.

Landsat 8 Band designation and Band Combination.  Landsat 8-9 Operational Land Imager (OLI) and Thermal Infrared Sensor (TIRS) Bands Wavelength (micrometers) Resolution (meters) Band 1 - Coastal aerosol 0.43-0.45 30 Band 2 - Blue 0.45-0.51 30 Band 3 - Green 0.53-0.59 30 Band 4 - Red 0.64-0.67 30 Band 5 - Near Infrared (NIR) 0.85-0.88 30 Band 6 - SWIR 1 1.57-1.65 30 Band 7 - SWIR 2 2.11-2.29 30 Band 8 - Panchromatic 0.50-0.68 15 Band 9 - Cirrus 1.36-1.38 30 Band 10 - Thermal Infrared (TIRS) 1 10.6-11.19 100 Band 11 - Thermal Infrared (TIRS) 2 11.50-12.51 100 Vineesh V Assistant Professor of Geography, Directorate of Education, Government of Kerala. https://www.facebook.com/Applied.Geography http://geogisgeo.blogspot.com