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I have rasters for weather variables created from different interpolation methods. The interpolation was done by excluding some points for validation. I plan to extract pixel values at weather stations and compare the performance of each method. My dataset look like Points: validationpoints_day1, validationpoints_day2, validationpoints_day3, validationpoints_day4, validationpoints_day5 Rasters Interpolation Method 1: method1_day1, method1_day2, method1_day3, method1_day4, method1_day5 Interpolation Method 2: method2_day1, method2_day2, method2_day3, method2_day4, method2_day5 Interpolation Method 3: method3_day1, method3_day2, method3_day3, method3_day4, method3_day5 I plan on using "Extract Multi Values to Points". How can I set automation using ArcPy? Any guidance is appreciated.
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05-17-2016
08:50 AM
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Thanks Craig for your quick response. I figured out that I need to use ListField. I am struggling figuring out the correct syntax. I found a python script to iterate IDW on ESRI Forum but that script was written for ArcGIS 9.3. I've recently upgraded to 10.2 and I think the scripts are now not compatible. I would be really grateful if you could provide further help. --kundan The critical part you need to manipulate is the field names. Access to these can be achieved using:
import arcpy
tbl= arcpy.ListFields(r'D:\Temp\Test.mdb\Test')
for fld_names in tbl:
print fld_names.name
or
import arcpy
tbl = r'D:\Temp\Test.mdb\Test'
fld_names = [f.name for f in arcpy.ListFields(tbl)]
print fld_names
Second method many by more ideal for iterating in a script, as field names are stored in a python list/table. Regards, Craig
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09-22-2013
07:47 PM
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Hello Peter, I need to figure out way to iterate interpolation using fields in my shapefile. Could you please provide an example where you would use python script (ArcGIS 10.2) to iterate interpolation (IDW)? Also, the output raster needs to be with the name as the field used in interpolation, for e.g field ABC12 would result in raster of raster_ABC12. I would greatly appreciate any help or suggestions.. --kundan I have multiple feature class that I performed analysis on and for each field that starts with a "t*" and is type "Double". I need to use a UpdateCursor to update the values within each of the following fields. I don't know how to use a list of fields within my UpdateCursor as the field that needs to be updated. In a previous python script that I used to carry out summary statistics I used a python list to summarise the fields that started with a "t*" and were of type "Double". I'm not sure how to combine the two to get the Update Cursor to replace the first field for each update. Any help would really be appreciated.
>>>import arcpy
... fc = r'E:\Projects\H109009\Calcs.gdb\Int_NLC_Quats_CommAgricMD'
... cursor = arcpy.da.UpdateCursor(fc,["t75c2","Shape_Area","MD_NLC_Area"])
... for row in cursor:
... row[0] = (row[0]*(row[1]/row[2]*100))/100
... cursor.updateRow(row) Regards
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09-22-2013
12:34 PM
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You will need to create a loop or iteration process to go through each or of your daily records. There are iteration tools in ModelBuilder or maybe export to python and code the iteration/loop process. Regards, Craig Any example Craig that you would like to provide here? I am also stuck in same condition. Iteration in model builder does not clearly mention using fields within the same shapefile/ table (each field is a measurement for a day in my case). I think examples are not clear too. If I need to use IDW and iterate across multiple fields how would I set up the model builder? Attached is the screenshot of the attribute table of the shapefile I plant to iterate. [ATTACH=CONFIG]27643[/ATTACH]
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09-20-2013
11:18 AM
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I am working on a project that requires interpolation of weather variables across an entire state in the Midwest. I am kind of new to geostatistics. I just found out this forum recently and thought I could get some advice from the experts. My question is which interpolator method would you recommend to interpolate daily rainfall, relative humidity, temperature etc on a state level. I need to interpolate on a daily basis for 10 years and obviously there is need of iteration. Most people seem to prefer co-kriging using elevation for rainfall interpolation. Elevation ranges from 110 m to 1350 m roughly from east to west. However, rainfall is very little on the panhandle (west). There is a distinct gradient, i.e. more on the eastern side of the state than the western side...Would cokriging be helpful? Also, has anyone written a script to iterate cokriging (daily obeservations are on each column of my dataset) on a daily basis? I greatly appreciate input from the community. Thanks, -kundan
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09-18-2013
10:54 AM
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