New answers tagged joins
FROM should contain table names, not column names (and 100 is missing here in the table name) The ON part should connect columns from both tables, but you have specified the same table on both sides. I suggest to put the whole sql statement in quotation marks, single ones for Linux and double for Windows. The roles of dst_datasource_name and ...
Found the workaround/solution Rather than using the join attribute tool, I joined using the join tool under the properties of the shapefile. It retained the Hindi characters. Then I saved the joined shapefile as a new shapefile and while doing it set the encoding as UTF-8. Resultant shpfile retained all the Hindi characters. I think the issue with using ...
Starting at version 2.2 QGIS supports one-to-many relations. Define them in the Project Properties though, not Vector Layer Properties. And then related records will appear in the layer's Attribute Table or Identify Results via the form. See answer and link to good guide here.
You can try the following: First add a column with that has "double" format to your combined raster and name it "UID", you can use the following code in field calculator to generate unique id's for the new "UID" field you added. # Code to put in the code block rec=0 def autoIncrement(): global rec pStart = 1 pInterval = 1 if (rec == 0): rec ...
You can use the reclassify tool. http://desktop.arcgis.com/en/arcmap/10.3/tools/spatial-analyst-toolbox/reclassify.htm
In QGIS Plugins you'll find a 'merge lines' plugin, which at first sight seems to accomplish what you are after. cited from description: MergeLines Simplifies the topology of a line network by merging adjacent lines This plugin merges segments of a line network (e.g. river network) in order to simplify its topology. Two merging methods are currently ...
Not spatial join, it's still an attribute join. I have not used either of these arcpy functions myself, but it looks like AddJoin_management() has some options to specify the join type KEEP_COMMON: Add Join - ArcGIS Desktop Help
Try using the following line instead: joinObject.setJoinFieldNamesSubset(['TYPE']) And as it is a list, you can specify which fields you only want to have joined: joinObject.setJoinFieldNamesSubset(['Field_1', 'Field_2', 'Field_3'])
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