Project Methodology:

 

    In order to complete this project, many steps and many programs were needed:


Here are the programs that I used in order to complete my project and the order in which they were used:

i) Internet Explorer             ii) PowerArchiver            iii) ArcCatalog                  

iv) ESRI ArcMap              v) IDRISI Kilimanjaro       vi) Microsoft Excel       

vii)  Notepad                     viii) IDRISI Kilminijaro.    ix) NVU Website Designer.


Internet Explorer:
 
    I used Internet Explorer in order to find the data that I needed for my project.  I acquired the basemap for my project from

the Government of B.C. GIS site (http://srmwww.gov.bc.ca/gis/arcftp.html).  The map (which is under the name abec_bc) came in

.zip format.


Power Archiver:
  I used the Power Archiver Program in order to unzip the abec_bc file     into .e00 format (ESRI Export File Format). 



ESRI Arc Catalog:


    I used ESRI Arc Catalog in order to convert the abec_bc file into a coverage, which I then could click and drag into ESRI Arc Map.



ESRI ArcMap:


    Here's a summary of the steps:

               *1(export data as shapefile)                     *2(Digitize KFD onto layer)                                                            *3(Select by location)                                                                     
Coverage --------------->  BCGeoclimaticZones ---------------------> BCGeoClimaticZones with KFD Digitized      ------------------> BCGeoClimaticZonesSelect


*4( Create layer from selected location)               *5(Export data as shapefile)                                                   *6 (Add Fields and Values)
--------------->  Kamloops Forest District          ---------------------------->  Kamloops Forest District        ---------------->   Kamloops Forest District


Here's a description of the steps:


*1 (Export data as shapefile) -

*2 (Digitize KFD into layer) - While looking at a BCAA Map of British Columbia and a Kamloops Forest District Handbook of  the Kamloops Forest District,
I digitized an approximation of the Kamloops Forest District onto the BCGeoclimatic Zones file using the editor toolbar and saved the changes onto the .shp file.


*3 (Select by Location) - In order to narrow the BCGeoClimaticZones shapefile into the zones inside the Kamloops Forest District, I used the select by location function in order to 'select all areas that are within a distance of 5 km of the Kamloops Forest District'. 

*4 (Create layer from selected location) - This created a layer from the current selection of zones within 5 km of the Kamloops Forest District. (Kamloops Forest District.lyr created)

*5 (Export data as shapefile)

*6 (Add Fields and Values) - I did using the 'add field' function in the attribute table.  I added five fields in total:
a) Average annual precipitation          b) July Max Temperature         c) January Minimum Temperature Kelvin

d) Frost-Free Periods in Days          e) Growing Degree Days.
 
    This was accomplished using the 'select by attributes' feature and then 'select by zone' and 'select by subzone'.  When I was in the 'selected'

view of the attribute table, I added values to the each field for that particular subzone.

IDRISI Kilimanjaro:

*1: Imported .shp file into IDRISI vector format + created blank raster file from ìnitial module.  This blank raster file was used in combination with the Kamloops Forest District Vector file in order to create the tristanraster kamloops raster file
*2:


                                 

Microsoft Excel:

I opened the kamloopsforestdistrict.mdb file in excel format and saved it in .xls format.  Then, I added several new fields (representing expected climatic values in 2050) to it and calculated their values.

i) Precip 2050           ii) July2050         iii) JanKelvin 2050                iv) FFP 2050      v)GDD 2050

i) Precip 2050 = Average Annual Precip +0.10*(Average Annual Precip)

ii) July 2050 = July Max Temperature + 1

iii) JanKelvin 2050 = January Minimum Temperature Kelvin + 3.             

iv)  FFP 2050 = FFP + 30

v) GDD2050 = GDD + (0.25*GDD)

Then, knowing that I needed to be able to do analysis on each field in IDRISI Kilimanjaro, I created a series of .csv files which only consisted of two fields (the IDR (used as the 'primary key' in raster) and the climatic variable of relevance (e.g. JulyMaxTemp))

(e.g. IDR      JulyMaxTemp)
        200      30


I did this for each field and saved each one as a .csv file (e.g. JulyMaxTemp.csv)


Notepad:
I opened each .csv file in Notepad.  In Notepad, I used the 'replace , with space' function in order to get the data in a 'IDRISI' friendly format.  Following this,
I saved each .csv file as a text file (e.g. JulyMaxTemp.txt).

IDRISI Kilimanjaro:

*1: Opened up each .txt file for climate attributes and saved them as .avl files. 
*2: Assigning, Reclassing for Present Values.


*3:  Assigning, Reclassing for Future Values


*4:  Apple-Growing Suitability at Present:


*5: Apple-Growing Suitability in 2050:



*6:  Grape-Growing Suitability at Present:


*7: Grape-Growing Suitability in Future:



*8: Spatial Inquiries for:
i) Grape-Growing Area Present vs 2050 (Produced Grapes 2050 but not today.rst and Produced
Grapes Today But Not 2050.rst)

ii) Apple-Growing Area Present vs 2050 (Produced Apple 2050 but not Present.rst and Produced Apples Today but not 2050.rst)

iii) Apple-Growing Area Present vs Grape-Growing Area Present
( Produced Applesbutnot Grapes.rst and Grapesbutnot Apples.rst)

iv) Apple-Growing Area 2050 vs Grape-Growing Area 2050

(Produced Apples but not grapes 2050.rst and Grapes but not Apples 2050.rst)

v) Apple and Grape Growing Area present vs Apple and Grape-Growing Area 2050:
(Produced agpresent but not 2050.rst and ag present but not 2050.rst)


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