Data input and editing - Introduction

12 important questions on Data input and editing - Introduction

What if GIS has no data ?

GIS will not be able to do any analysis or produce any output.

What are analogue (non-digital) data ?

Analogue data are normally in paper-form, and include paper maps, tables of statistics and hard-copy (printed) aerial photographs.

What is digital data ?

digital data is already available in computer-readable formats and are supplied on CD-ROM or the internet
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To setup a GIS database would be easy if?

if data were all of the same type, format, scale and resolution, then data encoding and integration would be simple.

All data need to be converted to digital form before they can be input into GIS ? how can this be done ?

-keyboard entry

-manual digitizing

-automatic digitizing

-scanning

Errors in input data may derive from three main sources which ones ?

-errors in the source data
-errors introduced during encoding
-errors propagated during data transfer and conversion

Data derived from different sources may also be referenced using different co-ordinate systems. the grid systems used may have different origins, different units of measurement or different orientation. how can this be solved ?

1.translation and scanning:one data set may be referenced in 1-metre co-ordinates whilst another is referenced in 10-metre co-ordinates
2.creating a common origin:if two data sets use the same co-ordinate resolution but do not share the same origin, then the origin of one of the data sets may be shifted in line with the other one.
3.rotation: map co-ordinates may be rotated to fit one or more data sets onto a grid of common orientation

What is line thinning?

routines exist in most vector GIS packages for weeding out unnecessary points from digitized lines such that the basic shape of the line is preserved.

What is the difference/relationship between automatic digitizing and scanning (see third column in Table 5.1 of the GIS text book)?

oth are methods to convert analogue data into a digital form. But the result of scanning is a scanned image which is still a raw data format. The result of digitizing is a thematic vector layer which is immediately ready for analysis.

What is the preferred way to digitize a height contour map: scanning or manual/automatic line digitizing? Motivate your answer.

The height contour map is a line map because the physical feature ‘elevation’ is recorded in lines. Therefore the preferred method is line digitizing, you can add to each entity (line element) an elevation value. A scanned line map is more like a picture. We can see the elevation lines, but the GIS has no idea and the information is not usable in analysis.

A researcher wants to develop a land cover map of a floodplain nature area. The researcher decides to base the map on a digital aerial photograph because this digital image can be easily captured in a GIS database. Is this a clever decision?

Yes, because the aerial image contains (still in uninterpreted format) information which can be digitized. The scanned image can subsequently be the subject of a supervised or unsupervised classification routine, resulting in an (interpreted) land use map.
The alternative (manual digitizing) is not impossible, but seems less efficient. The digitizer needs to be able to interpret the different types of land use from a photo which is very laborious, error-prone and costly.

A researcher wants to set up a GIS database to study the relationship between the presence of roads and the abundance of wildlife in the Province of Gelderland. The researcher has three information sources:
  1. a paper nature area map of Staatsbosbeheer covering the eastern part of the Netherlands;
  2. a digital road map of the province of Gelderland from Rijkswaterstaat;
  3. wildlife abundance data for the different nature areas in the Netherlands collected by non-governmental nature organisations.

Specify at least four activities that should be performed by the researcher to develop a sound GIS database.

  1. First the paper map has to be scannned and
  2. georeferenced to match the digital road map (data capture, re-projection)
  3. Then the nature areas can be digitized as polygons (data capture, editing)
  4. The wildlife abundance data can added to the nature area polygons attributes (data capture).

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