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Summary GRS10306 Introduction Geo-information science

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This is a summary based on the lectures that were given during the course Introduction Geo-Information science.

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  • June 25, 2021
  • 17
  • 2020/2021
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Summary Introduction Geo-
Information Science
Geo-Information Science
Lecture One: Introduction geo-information science
Geo information: Information connected to a location on earth.

Geo-information Science: the discipline dedicated to capture, storage, analysis, presentation,
exchange and use of geographical/geospatial data.

Geo-data is at the basis of mapping and measurement, monitoring, modelling and management.

Lecture Two: From real world into geo-data 1
Describing reality: Thematic description (what), Geometrical description (where), Temporal
description (when), who.

Earth



Database and Spatial perception
application by files Depends on the person and the goal:
and programs -
-
Knowledge
Research goal
- Purpose
- Users
- …
Things that are important with
respect to definition, level of detail
and scales



Data structure Spatial
geometric/thematic representation by
by a data model an information
model




Discrete phenomena:

- Thematic
- Categorical
- Discontinuous
- Objects. Boundary determines value.

Continuous phenomena: function of the location. Fields. Location determines value.

Representing continuous fields:

- Regular spaced sample points
- Irregular set of sample points

, - Regular shaped cells
- Triangular networks (TIN)
- Isolines

Tangible phenomena: can be seen in the real world.

Virtual phenomena: cannot be seen in the real world.

Vector: Objects in the vector data model:

- Point
o 0 dimensions
o Only location
- Line (polyline)
o 1 dimension
o Location, length, shape
- Area (polygon)
o 2 dimensions
o Location, length, area, shape

Raster: Objects in the raster data model:

- Cell
- Raster

- Point: singe cell
- Line: sequence of neighbouring cells
- Area: collection of contiguous cells
- Clusters of contiguous raster cells with the same value are called a region. All regions
with the same value make up a zone.

Lecture Three: From real world into geo-data 2
Geometry:

- Location and orientation
o Coordinate system
o Coordinates
o Units
- Shape and size (dimension)
- Topology
o About the spatial relationship/ configuration between objects and/ or between
primitives of the geometry representation.
o Relative location of spatial objects.
o Invariant for coordinate transformation

Attributes properties:

A table consists Attributes which have a measurement scale (nominal, ordinal, interval, ratio), an
attribute domain a data type and relations with other attributes.

Relational data model: A collection of tables, which can be related to each other by key attributes
whose values can uniquely identify a record in a table.

, ‘Integer’ raster:

- Nominal, ordinal
- Value attribute table (VAT)

‘Floating point’ raster:

- Interval, ratio
- No value attribute table

Lecture Four: Geodata acquisition
What data is needed?

- Data framework
o Administrative units
o Land cover/use
o Field survey

How to get these data? HHI

- Harvesting data by the web
o Spatial data infrastructure
o Metadata
o Portals/ registry/ clearinghouses
o Spatial Data Infrastructure (SDI)
 A coordinated series of agreements on standards. Policies and technologies
to support the efficient use of geo-data. It is about facilitation and
coordination of the finding, exchange and sharing of geo-data.
- Handling (desktop creating data strategies)
o Using data which is not immediately useful
o Digitizing/scanning of hardcover maps
o Digital editing to create geo-data
o Remote sensed Data Classification
o Derive orthogonal data by Photogrammetry: to retrieve orthogonal geodata by
using overlapping (stereo-pairs) photo’/ images/ footage.
- In situ (field measuring strategies)

Clinton’s Geo-data initiative: “Coordinating Geographic Data Acquisition and Access: The National
Spatial Data Infrastructure”. Standardized documentation of data.

INSPIRE Directive (2007-2019): EU spatial data infrastructure.

Webservices: 3-tier architecture:

1. Presentation tier: Access of webservices
2. Application tier: Interoperability of webservices
3. Data tier: Servers with Data and Metadata

WCS: Web Coverage Service (raster): web-based retrieval of raster data.

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