Question 1

What is NCEA AS 91433 about?

Accepted Answer

You need to solve a real geographic problem by using spatial data (like maps and information with location information) and data analysis techniques. You'll collect or find spatial data, manipulate it (measure, layer, filter, sort it), and then use these findings to propose and justify a solution. You'll work with your teacher to decide which geospatial techniques to use.

Question 2

What do students need to do for AS 91433?

Accepted Answer

1. Collect or access real spatial data relevant to your geographic problem (from fieldwork, maps, GIS databases, or other sources) 2. Manipulate the spatial data using appropriate techniques such as measuring, layering, querying, symbolising, sorting, or graphing to help answer your problem 3. Explain what you did with the data and why those manipulations help solve the problem 4. Present your findings visually (maps, tables, graphs, images) that clearly show your analysis 5. Propose and justify a solution by arguing why your chosen course of action is better than the alternatives

Question 3

What's the difference between Achieved, Merit, and Excellence for AS 91433?

Accepted Answer

Achieved: You apply spatial analysis to solve a problem: collect relevant spatial data, manipulate it, explain what you did, and propose a solution. Merit: You effectively apply spatial analysis by collecting sufficient data, performing accurate manipulations with detailed explanations, and justifying your solution by showing why it's better than alternatives. Excellence: You comprehensively apply spatial analysis by evaluating your manipulations and providing an in-depth, well-argued justification that demonstrates holistic understanding of why one course of action is clearly better than others.

Question 4

What mistakes do students typically make in AS 91433?

Accepted Answer

1. Not collecting enough relevant spatial data to properly address the geographic problem 2. Failing to justify or adequately explain why the proposed solution is better than alternative approaches 3. Performing data manipulations but not clearly explaining what was done or why it helps solve the problem

Spatial analysis

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