Activity
From 02/11/2012 to 03/11/2012
03/11/2012
- 09:19 PM Revision b8943fa1: folded Nunokawa backup file changes into vrt script file
- 12:00 PM Task #361: Test and compare the GAM method on several days (10 days for now) for Oregon
- I am reading about interactions and experimenting with the visualization tools.
At this stage, it is still unclear ... - 11:54 AM Task #364: Integrate spatial variables and structure in the GAM methodology
- One of the initial step in the methodology will be to reproduce the GWR model from PRISM. I am experimenting with GWR...
- 11:52 AM Task #375: Assemble monthly mean MODIS LST values for the complete record (2000-2012) for Oregon
- Started downloading and scripting for the average calculation. There are missing dates and I will be downloading addi...
03/10/2012
- 02:17 PM Revision 69190fde: cleaned up file permissions
- 02:16 PM Revision 7526fb1c: added in various previously uncommitted scripts
03/08/2012
- 05:32 PM Revision 6cc19306: added organisms->layers content migration 'script'
- 04:46 PM Revision 658fd3f6: reorganized terrain-related files
- 04:15 PM Revision a09a09c0: removed obsolete/preliminary DEM 60N assessment scripts
- 04:14 PM Revision 70b3c019: removed obsolete/preliminary DEM 60N mosaicing scripts
- 04:08 PM Revision 27c1eb57: removed obsolete/preliminary DEM regional mosaicing scripts
03/07/2012
- 08:38 AM Task #376 (New): Assemble monthly mean TRMM precipitation values for the complete record for Oregon
- This is for use in the development of the climate-aided interpolations. Steps:
# Download complete TRMM data record ... - 08:35 AM Task #375 (New): Assemble monthly mean MODIS LST values for the complete record (2000-2012) for Oregon
- This is for use in the development of the climate-aided interpolations. Steps:
# Download complete record for MODIS...
03/06/2012
- 09:57 PM Document: Presentation Iplant meeting Webex 03062012
- This presentation reports on the results for Task 361: GAM interpolation for 10 dates for the Oregon Case study. Ther...
- 05:19 PM Document: Presentation Iplant meeting Tucson 02172011
- This is a short powerpoint presentation of the first interpolation results for one date in Oregon. Results were obtai...
- 02:40 PM Document: Weather Interpolation for South Africa
- Presentation summarizing comparison of station data with MODIS LST and TRMM data as well as methods for interpolation...
03/01/2012
- 11:44 AM Task #361 (In Progress): Test and compare the GAM method on several days (10 days for now) for Oregon
- Beginning of the r code to produce prediction for 10 dates. Fit and validation will be evaluated using AIC, GCV, devi...
02/29/2012
- 06:27 PM Task #359: Test GAM method to produce Tmax for one day (OREGON): r script
- Assessment of the statistical models for interpolation must rely on diagnostic statistics. This step will help in sel...
02/23/2012
- 02:24 PM Task #364 (New): Integrate spatial variables and structure in the GAM methodology
- MODIS LST time series provide information on the structure and spatial variability of skin temperature. This informat...
- 01:19 PM Task #359 (In Progress): Test GAM method to produce Tmax for one day (OREGON): r script
- 11:48 AM Task #359 (In Progress): Test GAM method to produce Tmax for one day (OREGON): r script
- This is a first attempt at producing predicted values from meteorological station data.
Two methods were tested in a... - 01:13 PM Task #363 (In Progress): Assemble all GHCN data into a single database
- Meteorological station data used in the project was downloaded from the Global Historical Climate Network (GHCN). Thi...
- 12:24 PM Task #362 (New): Decide on a map projection for the Oregon case study
- The project has so far utilized the MODIS sinusoidal projection to store the relevant input GIS data layers (e.g. SRT...
- 12:16 PM Task #361 (In Progress): Test and compare the GAM method on several days (10 days for now) for Oregon
- The GAM regression is applied on a set of 10 days spread over a year to test its performance. We expect changes in th...
- 12:06 PM Task #360 (In Progress): Producing, formatting and extracting variables for the GAM regression (OREGON)
- GIS data layers developed in the past few months and meteorological station data are used to create a first "pilot" d...
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