Data Input and Geometric transformation:
Existing GIS data, Metadata, Conversion of existing data, Creating new
data, Geometric transformation, RMS error and its interpretation,
Resampling of pixel values.
2. use existing GIS data
GIS data for a project is often a matter of knowledge,
experience, and luck.
framework data, which typically include seven basic
layers
1. geodetic control (accurate positional framework for surveying and
mapping)
2. orthoimagery (rectified imagery such as orthophotos)
3. Elevation
4. Transportation
5. Hydrography
6. governmental units
7. cadastral information
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3. What is metadata
Metadata provide information about geospatial data
Metadata are important to anyone who plans to use
public data for a GIS project
metadata let us know if the data meet our specific needs
for area coverage, data quality, and data currency.
metadata show us how to transfer, process, and interpret
geospatial data.
metadata include the contact for additional information
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4. FGDC metadata standards
categories:
Identification information
Data quality information
Spatial data organization information
Spatial reference information
Entity and attribute information
Distribution information
Metadata reference information
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5. how existing data is converted
in GIS
Public data are delivered in a variety of formats. Unless
the data format is compatible with the GIS package in
use. we must first convert the data.
Direct Translation
Direct translation uses a translator in a GIS package to directly
convert geospatial data from one formal to another
Neutral Format :
The Spatial Data Transfer Standard (SDTS) is a neutral format
approved by the Federal Information Processing Standards
(FIPS) Program in 1992
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6. SDTS uses "profiles" to
transfer spatial data
Each profile is targeted at a particular type of spatial
data. Currently there are five SDTS profiles:
The Topological Vector Profile (TVP) covers DLG, TIGER, and
other topology-based vector data.
The Raster Profile and Extensions (RPE) accommodate DOQ,
DEM, and other raster data.
The Transportation Network Profile (TNP) covers vector data with
network topology.
The Point Profile supports geodetic control point data.
The Computer Aided Design and Drafting Profile (CADD)
supports vector-based CADD data, with or without topology.
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7. various methods of creating
new GIS Data
Creating New Data
Address geocoding, also called address matching, can create point
features from street addresses. Street addresses are therefore an
important data source for creating new data.
Remotely Sensed Data :
Satellite images can be digitally processed to produce a wide variety of
thematic data for a GIS project.
Field Data :
field survey typically provides data for determining parcel boundaries
Text Files with x-,y-Coordinates :
Geospatial data can be generated from a text file that contains x-, y-
coordinates
Cont………..
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8. Digitizing Using a Digitizing Table
Digitizing is the process of converting data from analog to digital
format.
Scanning
A scanner converts an analog map into a scanned image file in
raster format.
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9. What is geometric transformation
Geometric transformation is the process of using a set of
control points and transformation equations to register a
digitized map, a satellite image, or an aerial photograph
onto a projected coordinate system.
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10. Map-to-Map and Image-to-Map
transformations
Geometric transformation converts the newly
digitized map into projected coordinates in a
process often called map-to-map
transformation.
Image-to-map transformation applies to
remotely sensed data “satellite image into
projected coordinates”
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12. Affine Transformation
The affine transformation allows rotation,
translation, skew, and differential scaling on a
rectangular object, while preserving line
parallelism
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13. A geometric transformation typically involves
three steps.
Step 1 updates the control points to real-world
coordinates.
Step 2 uses the control points to run an affine
transformation.
Step 3 creates the output by applying the
transformation equations to the input features.
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14. Root Mean Square (RMS) Error
acceptable value ranges(rms)
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16. END OF UNIT 2
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Editor's Notes
Identification information basic information about the data set, including title, geographic data covered, and currency.
Data quality information information about the quality of the data set, including positional and attribute accuracy, completeness, consistency, sources of information, and methods used to produce the data.
Spatial data organization information information about the data representation in the data set, such as method for data representation (e.g., raster or vector) and number of spatial objects.
Spatial reference information description of the reference frame for and means of encoding coordinates in the data set, such as the parameters for map projections or coordinate systems, horizontal and vertical datums, and the coordinate system resolution.
Entity and attribute information information about the content of the data set, such as the entity types and their attributes and the domains from which attribute values may be assigned.
Distribution information information about obtaining the data set.
Metadata reference information information on the currency of the metadata information and the responsible party.