scale and translation issue with addresses

I have a list of addresses I am trying to map on top of shapefiles I acquired from a city website.

so i am using a mosquito plug component in order to translate the addresses into long/latitude and use Heron's decimal degrees to XY component however the scale seems really off.

Is there a help file for mapping a list of long/latitude so that they are in scale and in the right position in respect to the information with import SHP component?

Thank you, what a great plug in. esp impressed with get.Rest.service.layers....

Replies to This Discussion

Permalink Reply by yj on April 22, 2015 at 11:15am

decimal degrees to xy component is returning values (3d vector) in the range of 10 to the 7th power.

however, the information from the import shp file is in the range of a couple thousands.

about the map scale by the get.rest service layer component, it says "scale range 1:591,675,528 down to 1:72,224"

now, I have tried both of these scales, tried the conversion rate for feet to meter

when I apply different scale values manually I am still not getting the results near the anchor point, which is within a several city blocks from the most addresses i am trying to plot. and it seems like the points are rotated 90 degrees. I notice because all the address I am plotting are business addresses along one street.

perhaps I am missing something fundamental about the decimal degrees to xy component or how that process works in general?

Permalink Reply by yj on April 22, 2015 at 12:16pm

Permalink Reply by yj on April 22, 2015 at 12:41pm

oh....i crossed longditude and latitude for the decimal to xy component. lol

now works like a charm. so great!

Permalink Reply by Brian Washburn on April 22, 2015 at 7:14pm

Glad it's working for you! I've made that mistake many times myself.

Permalink Reply by yj on April 23, 2015 at 8:05pm

Thank you Brian for the wonderful plug in.

I didn't think I would be able to do visualization like this with only grasshopper components and without hands-on python or js parsing.

I suppose I am hitting the practical limit at the size of data set like reading 5-6 rows that are 9000 columns long and plotting datasets in simple breps that are in the range of 7-8 thousands.

In storing the visualizing information in a format other than something popular like json I can't help wondering if I would be able to include enough of dataset to make a more granular analysis.

Regardless, this is a great plug in to look at many layers of gis information that is related to different zones. There is more than I expected, and also datasets are not so old!