Latest Contributions by AndrewJoseph

I am using address points that correspond to address locations for a city (Austin) I have a database of properties that I need to geocode. However, many of these properties have a full address but lack a zipcode. Is there a way of using single house or something like it without using zipcodes? I selected "none" for zip when making the locator but when I go to geocode it simply fails to match any of them. I tried the same thing with the dual range using street centerlines and the same thing occurred. Because my data are residuals that failed to match on a PROP_ID field to a shapefile, many of these addresses are incomplete so it defeats the purpose of geocoding these addresses if I have to use ZIP fields. Here are links to the datasets I am using as references for SH and Dual Range respectively: METADATA: ftp://ftp.ci.austin.tx.us/GIS-Data/Regional/address_points/addpt.htm -Address Points ftp://ftp.ci.austin.tx.us/GIS-Data/Regional/transportation/str_address.htm - Str_Address I would greatly appreciate any help with this matter ... View more

Hello, I am trying to create a raster surface showing the amount of housing units within a quarter mile from raster cells with a cell width of 50 feet. To do this I need to be able to somehow spatially join the tax parcels (polygons) within 1320 feet of the cell to the cell in order to get the total number of housing units within a quarter mile of each cell. I have currently accomplished this task by using the label points from a fishnet as sample points, then spatial joining all parcels to the points that intersect a 1320 foot buffer around the points. I then take these points and create a 50 foot resolution raster surface using IDW. The problem is that it requires me to create over 13 million points! Is there not a faster way? Thanks, Andrew ... View more

Hello, I am trying to look at neighborhood landuse charactersitics within a quarter mile around all landuse polygons in a database of roughly 250,000 polygons. I'm using an Intel CORE I7 Vpro with 64 bit and a total of 8 processors with arc10, but even it seems unable to manage spatial joining this dataset even after I have split the file up into feature classes of only 35,000 each! Three days of my existence have been wasted on this problem. It seems to get through the entire process but then cannot write the attribute table. So, I was wondering if anyone had any ideas about the best way to spatial join a dataset of this size, and what factors besides size of dataset affect spatial join speed?  On a related note, is it faster to first create quarter mile buffers around each landuse polygon, or simply specify a quarter mile  search radius in the join dialog? I also have a dataset consiting of points that are 660 ft apart along the street network, would it be quicker just to join landuses a quarter mile from these points than the landuse polygons themselves? ... View more

Hello all, I am working on a research project that looks at the maximum distance a person can travel by bus from a given intersection within one hour at specified time intervals, such as 4:00 PM. To do this I have created a route shapefile and stop points from the GTFS (Google or General Transit Feed Specification) data For each stop on each trip along each route I have the arrival time and departure times of the buses, which I have standardized into impedances by calculating the hours elapsed since the beginning of the interval. My problem is that I am unsure of how to restrict transfers to trips that have not already occured (i.e. the total accumulated time impedance < departure time of trip) and then how to make the solver adhere to the trip sequences once a transfer has occured. This problem has been stumping me all week; any help would be greatly appreciated! Thanks, Andrew ... View more