New answers tagged arcgis-9.3
I would approach this using two steps: Use Insert | Data Frame to insert the number of data frames you want i.e. one for each overview, inset and main map. Add whatever layers you want for each and set suitable extents for the type of map each data frame is meant to represent. Then use the Extent Indicators (probably called Extent Rectangles prior to ...
with a categorical raster data, you can build the raster attribute table of your raster. Once this is done, open your table (right click on the layer) and you will see the count of the pixels. Multiply by the area of your pixels and you have a good approximation of the area of each class.
There are some fundamental differences between MapInfo's styling and ArcGIS's. Most importantly, MapInfo styles features per-feature in a style string (it's a weird encoding, including a funny representation of RGB in a single int value). ArcGIS styles things in a MapInfo 'thematic', which really means, in categories (that's a over-simplification, as there ...
To find overlapping Text, first create Polygons from the text using Feature Envelope to Polygon, then Intersect that layer. To find Text that is closer than 1.5 feet, run Near, inputting the Text polygons and labeled features. You can Select Layer By Attribute where Distance < 1.5.
The TFWX file is sort of a world file but not in the conventional sense because it works in conjunction with the AUX.XML file. Therefore, if the Aux file gets lost, changed or cannot be read by some software you transfer your raster to, then the TWFX will not put the rather in the correct world position. To permanently transform the image you need to ...
the answer is : it depends. But usually this is not possible because the tfwx file is only an approximation of the precise transformation using an affine transformation. The transformation is written in the aux.xml file. More details in the arcGIS doc if the transformation cannot be expressed as a world file, Update Georeference writes the ...
For ArcMap 10.x users: If you have many different polylines you'd want to dissolve the lines first before using the construct points function. This way the whole dataset becomes one polyline, so you don't have to do each polyline manually.
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