I would like help with my GIS assignment? I have to write a summary (max 200 words) for two flood risk assessment maps and a summary of its findings (max 200 words), as well as the answers to a few questions. Document Preview:

Flood Risk Assessment: University of Queensland, St Lucia (Buildings) Flood Risk Assessment: University of Queensland, St Lucia (Sporting Facilities) FloodArea (m2) % Affected Consequence Likelihood Risk Buildings 1:205651.4642911.9%Minor ModerateHigh 1:50 26313.456499%Significant Moderate High 1:100 47446.20479516% Major Low Low Sporting facilities 1:2000Minor Low Low1:50 80512.5518564% Major High High1:100 84420.6386967% MajorModerateHigh Show a data analysis workflow (i.e. dataflow or 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: 122233 Relief (Terrain relief class) with classification values_1=Flat, 2=Hilly 111222 What is the result raster of map algebra expression: LU!=1 and Relief==1. Note: == operator means  equals and  != operator means not 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 a conceptual 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 of neighbourhood is 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…