代写SOEE2650: GIS for Geoscientists调试Haskell程序

Assessment brief

Module code & title

SOEE2650: GIS for Geoscientists

Assignment title

Locating a wind farm

Assignment type

Computer exercise

Learning outcomes assessed

We are assessing:

· That you can add data to GIS successfully: preparing and projecting it to appear on one map.

· That you can carry out basic analysis tasks, e.g. generating viewsheds.

· That you can apply techniques from the workbook to new tasks and data.

· That you can use GIS layout tools to present your data on a map layout in a professional manner.

Assignment length/Time limit guidance

Your submission should be contained on a single A3 page.

Use of GenAI in this assessment

AMBER: AI tools can be used in an assistive role You are permitted to use AI tools for specific defined processes within the assessment. See below for further details.

Weighting

40% of the final module mark.

Deadline or date of assessment

14:00, Thursday 13th March 2025

Submission method

Work should be submitted to the submission point in Minerva as a PDF document.

Feedback provision

Usually, you will receive your feedback before your next assessment for the module is due. Where it is appropriate to do so, and feedback can be released without invalidating the integrity of ongoing assessments, this will typically be no later than 15 working days post submission.

Feedback will be provided via Minerva – find it by logging back into the submission point once you have been told it is available.

Module manager

Clare Gordon

Assignment summary guidance

The UK is highly populous and siting wind farms can be a challenge. This exercise produces a series of maps with possible supporting data. The exercise is highly simplified and only considers topography and mean windspeed.

You will submit a layout containing a series of six maps. The first three will show average windspeed across the whole UK. The second three will show viewshed maps of an area centred on Boston Spa in Yorkshire.

More detailed information will be provided as a presentation during one of the lectures for this module and uploaded to the Assessment and Feedback folder in Minerva.

Recommendations for data to use will be given in the Assessment and Feedback folder in Minerva.

Use of GenAI

Under this category, AI tools can be used in this assessment in an assistive role for the specifically defined processes:

· acting as a support tutor to aid in the research of a topic.

· providing assistance in the use of specific tools within QGIS and aiding with troubleshooting.

In this assessment, AI tools cannot be used to:

· produce the entirety of, or sections of, a piece of work that you submit for assessment beyond that which is outlined above.

The use of Gen AI must be acknowledged in an ‘Acknowledgements’ section of any piece of academic work where it has been used as a functional tool to assist in the process of creating academic work. If it is suspected that you have used a Gen AI tool to produce part of your work, but you have not acknowledged this use, this could be investigated under the Academic Misconduct procedure.

The minimum requirement to include in acknowledgement:

· Name and version of the generative AI system used eg ChatGPT-4.0

· Publisher (company that made the AI system) eg OpenAI

· URL of the AI system

· Brief description (single sentence) of context in which the tool was used.

For example: “I acknowledge the use of ChatGPT-3.5 (Open AI, https://chat.openai.com/) to summarise my initial notes and to proofread my final draft.”

For further information on Gen AI and University policy on its use in assignments, see the guidance document for taught students: https://generative-ai.leeds.ac.uk/uol-genai-guidance-for-taught-students/ 

General guidance

skills@library hosts useful guidance on academic skills including specific guidance on academic /writing and referencing Academic skills | Library | University of Leeds

Assessment criteria and process

The approximate weighting of marks for this assessment will be as follows:

· Importing of data = 25%

· Processing of data = 30%

· Understanding and description of data = 20%

· Presentation = 25%

The assessment processes for the School of Earth and Environment can be found in the Code of Practice on Assessment (CoPA) at this link. Any criteria specific to this assessment that differ from those presented in the CoPA are detailed below and will always overrule the information published in the CoPA.

The detailed assessment criteria for this assessment are provided in Minerva under Assessment and Feedback.

This assignment does not assess your written English although feedback will be given.

Resits: Resits will be a very similar format but applied to a different geographic location.

Presentation/Formatting and referencing

Please submit your work as a PDF document basing your presentation on the principles of cartography discussed in the lectures for this module.

You must appropriately cite all supporting evidence using the Leeds Harvard referencing style. - https://library.leeds.ac.uk/info/1402/referencing/50/leeds-harvard-introduction



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