Thursday, 24 January 2013

First Meeting 1/15/2013

One aspect of many that I will be blogging about will be about my check-in meetings with Professor Cardille each week. 
This has two purposes:
             1) to keep me on track of where I should be
             2) as a reminder of what we discussed and agreed upon within the meeting.

These meeting notes are from our first meeting on 1/15/2013
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-There is a possibility that the new Landsat satellite could be launched earlier than March, and as early as in February.   This would provide more images for analysis throughout the semester. 

-I will be examining the model (as part of Model Builder in ArcGIS) that was used on the data that Jeff is in the midst of submitting. 

-I will be examining the script used to analyze the previous data and images, find the script and make it more flexible... this will allow me a chance to explore parameterizing models. 

-In GEOG 535 I will be writing a Grant Proposal as part of my final project. I would like to use the topics discussed in this independent study to write this grant. (One of many goals for the semester)

-We will aim to meet this semester, every Tuesday at 3 pm. Sometimes we will have to meet on Fridays. This will be discussed each week before. 

-Journal/Blog will be my tangible, practical task each week describing what I have been doing or researching. I must complete at least 10 of these, and then email Prof. Cardille the link to the post each week. A great blog that he has used in the past to help him work though programs etc. is "R in Ecology and Evolution". Pressure's on to be as useful as that blog.

-In order to gain familiarity with Model Builder in ArcGIS (see link above), I will complete the Spatial Analyst Tutorial, and blog about it! For ArcGIS 10.1; not 9.2 as I mistakenly began. 
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Clarified, overall list of things to do this semester:

1) [Retrieve] Model Builder Model of Eastmain + Abitibi lakes (so I can understand from where x values originate)

2) Look for new satellite images, to compare with previously used images.

3) Think about combining several regressions in Model Builder, or in R

4) Watch for new Landsat data.
         -compare images from ALI and Landsat

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