Typically, a non-spatial database table requires geometry from a related feature. This is the case for parcels and property information. parcels have geometry and property describes the parcel.
"Many To One Feature Extraction For ArcPy" processes all the records in the table. The geometry from the related feature class is retrieved using the match field.
The output featureclass consists of a new feature class of the same geometry as the relate feature class. Records will share the same geometry in the output feature class if they have the same match key value.
This tool works with personal geodatabases, file geodatabases and shapefiles (for my sins).
On completion of the tool, use a join to join the original table information to the output feature class.
See the tool documentation for HOWTO information.
Now includes support to expose all parameters in model builder.
This updated script replaces the earlier python script. The tool has been created and tested using ArcGIS 9.2. However, unlike python, this script will work at all versions of ArcGIS 9. The toolbox and tool will need to be created in with an earlier version.
The first parameter is the Larger feature class ( the one whose features will be erased from). The Second parameter is the feature class with the features that will be used as a mask.
This geoprocessing has been built for an ArcGIS, ArcViw-level license, where users do not have access to the full ArcGIS, ArcInfo-level erase tool.
Because it makes use of a feature layer, the tool can executed from with in ArcMap or the ArcCatalog environment.
The methodology involves creating a union between the erase or mask featureclass and the main feature class which needs to have the features removed from behind erased feature class.
An erased feature class is created based on the non-erased feature class structure and features are appended to this feature class based using the temporary unioned feature class.
The summation of an numerical attribute field is calculated along with the frequency referring to the number of identical geometries.
Supported with Personal and File Geodatabases.
The first part of the process involves generating a catchment (buffer) zone served by the features. The variable featureclass takes the distribution of another featureclass and calculates the relationship to the catchment features.
The distribution of these features is classified into a clusterning scheme using the hotspots clustering tool from the Spatial Statistics Toolbox.
These tools consist of a set of python scripts to convert between any of the 13 New Zealand MSL datums and NZGeoid05. They rely on an ArcGIS Desktop (Arcview level) license and access to a 3d Analyst license.
These tools use shapefiles and can be of either point, polyline or polygon type.
The NZGeoid05 model is available as an ascii grid for download at http://www.linz.govt.nz/core/surveysystem/geodeticinfo/datums-projections/verticaldatums/nzgeoid05/index.html.
Ensure the data is of the same spatial reference and in the extent of the model spatial extent.
I have also included a word document instruction guide and a sample NZGeoid05 vertical projection file. Support i9s for calculating both h and H,