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Question / Vraag 2 [8]
A GIS analyst creates four maps showing annual rainfall across a province using:
The rainfall dataset contains:
2.1 (2)
Which classification method would BEST highlight the extreme rainfall regions?
Explain your answer.
2.2 (2)
Which classification method would ensure an equal number of areas occur within each class?
Explain your answer.
2.3 (2)
Explain ONE advantage and ONE disadvantage of Equal Interval classification.
2.4 (2)
Why can classification choice significantly influence map interpretation?
’n GIS-ontleder skep vier kaarte wat jaarlikse reënval oor ’n provinsie toon deur gebruik te maak van:
· Gelyke interval (Equal Interval)
· Kwantiele (Quantile)
· Natuurlike breuke (Natural Breaks)
· Standaardafwyking (Standard Deviation)
Die reënvaldatastel bevat:
· baie lae tot matige reënvalwaardes,
· en ’n paar uiters hoë bergagtige reënvalgebiede.
2.1 (2)Watter klassifikasiemetode sal die UITERS hoë reënvalgebiede die BESTE beklemtoon?Verduidelik jou antwoord.
2.2 (2)Watter klassifikasiemetode sal verseker dat ’n GELYKE aantal areas in elke klas voorkom?Verduidelik jou antwoord.
2.3 (2)Verduidelik EEN voordeel en EEN nadeel van gelyke interval-klassifikasie.
2.4 (2)Waarom kan die keuse van klassifikasie die interpretasie van ’n kaart betekenisvol beïnvloed?
Which data type would be most appropriate for storing images or multimedia within an attribute table?
Attribute data typically informs the 'where' component of spatial data.
Which measurement scale has a true, absolute zero point, allowing for multiplication and division operations?
What tool is commonly used to correct topological errors like undershoots and overshoots?
Which type of geometric transformation preserves parallelism of lines but allows angular distortion?
Data exploration in GIS only involves examining attribute tables, not maps.
A geometric transformation converts data from digitizer units/pixels into what?
Which measurement scale deals with ranked categories where the intervals between ranks are not necessarily equal (e.g., low, medium, high)?
Nominal scale data involves categories with a natural, inherent ranking.