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The situation I have a set of postal code boundaries (polygons) that cover all of Canada. For each polygon, i have a postal code field. The postal code shown is the ground-floor postal code. For each polygon, i have a field identifying whether that shape is used by multiple postal codes (appartment buildings have many postal codes due to population). This field, called MultiPC, is boolean. I also have a look-up table that has a record for each stacked postal code for those appartment buildings. The primary field is the ground floor postal code, and the 'OtherPC' field is the stacked postal code. There can be many rows with the same primary postal code, for each of the OtherPC's. The higher the population of that building, the more stacked postal codes there are. The last file i have is a population table. This table has population for all of the postal codes, including the multiple codes for appartments. I would like to have a polygon feature class that has a polygon for each postal code, even the ones that have identical geography to another. The result would be stacked polygons representing appartment buildings. With this, i could join my population and when a spatial query is done, i can get an accurate count of population. This would also allow me to search any postal code and be able to find it (rather than the current polygon file that only contains the ground floor postal code). I cannot complete this duplication task manually, as there are 29,000 of the OtherPC's. I'm hoping there is a way to create duplicates of each polygon for each of the stacked postal codes, based on the ground floor polygon. Does anyone have any ideas how i can achieve this?
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05-22-2014
07:56 AM
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An easy way would be to use two dataframes and overlay them in a Layout. If you print (to pdf or paper), then nobody will know how it was done. In one dataframe, show Iran and any other neighbouring countries and water that you want. In the second dataframe, add Panama only *but ensure that the map scale is the same as the Iran dataframe. *Also ensure that you don't have any other layers that might fill the Panama dataframe space (like oceans) *don't give the dataframe a fill or an outline, as it needs to be transparent except for Panama. Then slide the Panama dataframe onto the Iran data frame.
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10-26-2011
01:22 PM
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This may save you some time (still takes some, though): 1.) Create Thiessen Polygons from your towns (pics 1 & 2) Sounds like a plausable idea. I think I will try that. Thanks.
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10-25-2011
12:02 PM
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Thank you for your help, but this is not a labelling issue. I need to know how I can show a selection of a point file that is spatially dispersed.
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10-25-2011
09:25 AM
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That leaves me with unlabelled towns. The result I am hoping for would have fewer towns drawn (then labelled).
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10-25-2011
07:56 AM
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I'm producing a map that is showing towns with labels. The data that I am using contains a classification for the towns with population ranges (6 classes). The class 6 towns are the ones with the lowest population but there are too many of them to allow for clear labelling. The map is full of town labels and I haven't even added hydrography (with labels) and transportation (with labels). What I would like to do is only show about half of the class 6 towns, with no preference given to any of them. I have tried assigning random values to them and showing only half (even numbers) but the towns were not spread out spatially - which resulted in clusters that were still too close together. I would really like to show only half of the points with a spatial dispersion that allows for clearer labelling. I'm not looking for text labelling solutions - I simply have too many points on the map. Can anyone help with suggestions? Btw, I'm using ArcInfo 10, if it matters. I've attached little screengrab to show my headache.
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10-25-2011
07:32 AM
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