Flood Risk Assessment: University of Queensland, St Lucia (Buildings)

Flood Risk Assessment: University of Queensland, St Lucia (Sporting Facilities)

Flood / Area (m2) / % Affected / Consequence / Likelihood / Risk
Buildings / 1:20 / 5651.464291 / 1.9% / Minor / Moderate / High
1:50 / 26313.45649 / 9% / Significant / Moderate / High
1:100 / 47446.204795 / 16% / Major / Low / Low
Sporting facilities / 1:20 / 0 / 0 / Minor / Low / Low
1:50 / 80512.55185 / 64% / Major / High / High
1:100 / 84420.63869 / 67% / Major / Moderate / High

Show adata analysisworkflow(i.e.dataflowor sequence diagram) to illustrate the GIS analysis for calculating the 1:50yr flood risk score. This may be composed by graphics software or legible hand-drawn sketch which is scanned to computer. This should be no more than ½ page. (1.5 marks)

Below is data for two simple rasters (just one row) to represent a strip of land. (2 marks)

LU (Land use) with classification values: 1=Urban, 2=Rural, 3=Forest:

1 / 2 / 2 / 2 / 3 / 3

Relief (Terrain relief class) with classification values:1=Flat, 2=Hilly

1 / 1 / 1 / 2 / 2 / 2

What is the result raster of map algebra expression:LU!=1 and Relief==1. Note:==operator meansequalsand!=operator meansnot equal. List the six result cell values. (0.5 marks)

ii) How is similar analysis performed in the vector model? List the GIS operation(s) to perform similar analysis on the layers above. (0.5 marks)

iii) Given that either raster or vector approaches may be used; what is common between them (at aconceptual or logic analysis level) to solve a spatial problem,and give one limitation for processing raster data and one limitation for processing vector data. (3-4 sentences, 1 mark)

QUESTION 4

The concept ofneighbourhoodis important in geography. In one sentence, give a conceptual example of neighbourhood analysis with map data. Describe how neighbourhood analysis is performed for example in GIS using: i) raster data and analysis methods, and ii) a feature/vector data and analysis method. (4-6 sentences)

QUESTION 5

Answer questions related to 'Geodatabase andqueries' practical on customer survey for accessing gym.

i) Give result counts (a-das per table below)for customer satisfaction by transit region with counts from GIS queries. (0.5 marks)

ii) List each GIS step with brief description used to complete entry for 'c' in table only. So one step for each query/selection or data summary performed. An example of the format for describing a simple step is:select by attribute dogs wherecolour= 'brown'. (0.5 marks)

iii) Compute and compare the conditional probabilities for being satisfied given customers live in a region with rapid transit service versus live in a region with no transit service, i.e. finish sentences in step 7. (0.5 marks)

QUESTION 6

Create a summary table for transit regions that shows the total area for ‘rapid service’ and ‘no service’ regions (insert a table and copy headings/values from screen result). What statistic did you use?