HR and HR overlap

[e.santo...@gmail.com]

Hi there,

Needing some advice here.

I would like to know how to quantify HR and HR-overlap for some 40 individuals using HRE - MCP 95%.

A bit of background. Data of all individuals is in single shapefile (created in ArcMap). Each individual is identified by a unique combination of colors: color code (string variable, no numbers).

The program wont let me use the color code to create a HR polygon for each individual. I tried to edit the attribute (Color code) using the Auto Assign Attribute, but it assigns the same number to all observations or continuous numbers.

I want to assign the same number or alphanumeric ID to the same individual to create individual polygons and quantify HR-Overlap.

Any suggestions?

[Stefan Steiniger]

Hi,

I have difficulties to understand how the IDs are encoded. Can you send a sample?

To calculate overlap for 40 individuals sounds like a fairly intensive work to me, as in theory there is a very large number of combinations possible (40^2+40)/2 = 800 - I believe; but...

Best,

Stefan

Ps: sorry am in vacations now, so am responding slowly

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[Enrique Santoyo-Brito]

Hi Stefan, 

Thank you very much for taking the time to answer my questions.

I have attached to this email file with data and a .pdf with screenshots and a short explanation of what I am doing and what I want to do. 

Thank you very much for your help!

Saludos,

Enrique Santoyo-Brito, PhD Email: enrique...@okstate.edu Website: http://esantoyobrito.wixsite.com/enrique Researchgate: https://www.researchgate.net/profile/Enrique_Santoyo-Brito Phone: (405) 744 5555

[Enrique Santoyo-Brito]

Hi Stefan, 

Hope you are doing well. 

I apologize for insisting but have you had a chance to look over my data? Do you have any suggestions?

Thank you!

Saludos,

Enrique Santoyo-Brito, PhD Email: enrique...@okstate.edu Website: http://esantoyobrito.wixsite.com/enrique Researchgate: https://www.researchgate.net/profile/Enrique_Santoyo-Brito Phone: (405) 744 5555

[Stefan Steiniger]

Hi Enrique,

ok, your colour coding seems to be a smart idea, but converting that into an integer value, as needed for the analysis is indeed a headache.

So here is what I did now with your sample - using a table join as a solution:

- I created an Excel file with two columns: colour and indiv-id, putting in the first column the unique code and in the latter a unique id to be used later on

- I exported the excel to a csv file (so I can read it in OpenJUMP or/and QGIS)

- I did load that csv in OpenJUMP (using the auto option), then I adjusted the id field to be of type integer, not double, and saved it as a shapefile (i.e. hoping also OpenJUMP as well as QGIS figure that this is a file with no real point geometries, only serving to load a table)

- then i did load both shapefiles in QGIS to perform a Join operation on the original shapefile with the colour atribute as "matching attribute". I checked then if each observation really had a new individual id, and then I exported that layer again as shapefile to be loaded later in OpenJUMP and run the MCP analysis (with the id attribute).

- if OpenJUMP could do a join using STRING type attributes, this would have been mucht easier... but unfortunately...

- also, in one moment I was able to load the xls (or xlxs) straight into QGIS for the join, but later on it did not work again :(

So I attach you an excel with the csv, the generated shapefile with the ids (and empty geometries) from OpenJUMP that I did load in QGIS for the colour ("String")-based join operation, plus the final shapefile.

(btw. some QGIS can also read the excel directly, but converting the id attribute into an integer may still be an issue).

I hope you are able to redo, what I did with your larger dataset. If not, let me know.

cheers,

Stefan

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