03/19/2012

03:41 PM Task #364: Integrate spatial variables and structure in the GAM methodology

GWR predictions were produced using the sgwr package in R.
The following specifications were used to run the mode... Benoit Parmentier

03/16/2012

12:36 PM Task #362: Decide on a map projection for the Oregon case study

If I am not mistaken, I think we have decided that the best projection to use is Behrmanns' Cylindrical Equal Area, a... Natalie Robinson

03/11/2012

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 ... Benoit Parmentier

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... Benoit Parmentier

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... Benoit Parmentier

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 ... Adam Wilson

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... Adam Wilson

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... Benoit Parmentier

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... Benoit Parmentier

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... Benoit Parmentier

01:19 PM Task #359 (In Progress): Test GAM method to produce Tmax for one day (OREGON): r script

Benoit Parmentier

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... Benoit Parmentier

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... Benoit Parmentier

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... Benoit Parmentier

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... Benoit Parmentier

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... Benoit Parmentier