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I don't know if you could help me in this:

I have 7 points (x coordinate is known and variable) (y coordinate is known and fixed) each point represents a position of the same object in a specific time of the year (say January 1984, January 1986 ,January 1999.....)

How could I know the expected position in (say January 2014?) using Arcgis?



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I'd, honestly, do it in a spreadsheet and bring it back. Work out the annualised rate of movement for the x coordinate (distance between X's over the observation period) and use that for the projection. I'm sure that there is a way to do similar using Python - but this would be the most straight forward approach. You could even have a look at the trajectory of the X - does it vary, is there a pattern to the variation (by time period) - and use this that to weight the distance. – Andy TIce Feb 27 '13 at 6:26
According to me you can try 3d analyst or Geo-statistical analyst.. OR use some regression_analysis (…) – Sunil Feb 27 '13 at 8:00
Yes , I could do it on excel but I have lots of such point groups which will take a very long time – MOHAMMED HABBOUB Feb 27 '13 at 16:58
Well, I read the regression_analysis pdf... but I still don't know how could I do it – MOHAMMED HABBOUB Feb 27 '13 at 16:58
"Yes , I could do it on excel but I have lots of such point groups which will take a very long time".... OK, fair comment, but you didn't state that in the original question. I still think attempting to represent the problem in Excel would allow you to think through the steps you might consider to automate it later along the line (bad pun!) .... Working out whether the points exhibit a temporal pattern (i.e. all vary position equally), or if its differentiated spatially could be done at this stage (select some different cases from across your data set) - GWR or entropy could be considered? – Andrew Tice May 26 '13 at 8:45

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