Dylan Keon wrote:
1) jitter the points by introducing a small amount of random error
into the coordinates (only works well when zoomed in pretty far).
2) plot a single point for each research site, with data for multiple
specimens contained in the attributes for that point.
3) render a single point of one color where multiple specimens were
collected at a site, and another color where a single specimen was
collected.
In my case option 2 worked out pretty well. However, your data are
quite different and I wasn't doing imagemaps. Also, my data were
selected and rendered dynamically based upon the user's query. You
mentioned you can't separate the points easily - is your address
dataset stored in a database,
It's not so much that I can't seperate them, as it is the need to keep
them together for business reasons.
There is at least a "primary" (tax Owner) address in every case, along
with possible secondary addresses in the cases of Duplexes and Apt.
Buildings, etc. All Addresses need to be viewable, even if I seperate
out the Primary, there would still be instances of secondary stacked
points. I'm still researching this at this point to gather options.
The data is all in a Oracle DB
bobb
or is it more static (shapefile)?=20
Anyway, maybe this will give you some ideas. HTH.
Dylan
