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  • I am wanting to make a file to open in ArcGIS Pro with a navigation tree layout (grouped and nested by 4 attributes) and a heatmap of the coordinate densities. What is the best writer file format?

Hi all, I have a dataset (CSV) of different types of trees (type, colour, flower, etc) and I want to open this dataset in ArcGIS Pro. I want it to have a navigation tree and a heatmap based on dense areas.

 

I am new to FME and wondering how I do this and what the best output file format is for the structure I am wanting? I am struggling to find any direction of approach to this specifically. I have done similar in KML with Google Earth, although couldn't implement a heat map, and it is slow with my dataset.

FME is more the data side, so manipulating and analysing the data. FME can create the heatmap, but in your scenario I'd say getting ArcGIS Pro to do from the source vector data it is the better option - https://pro.arcgis.com/en/pro-app/latest/help/mapping/layer-properties/heat-map.htm

 

You can't* get FME to create an ArcGIS Pro project and do all the layer grouping and symbology, this needs to be done in ArcGIS Pro

 

In terms of output formats, GDB is probably the best approach

 

 

*You can, but you need to instead use the PythonCaller with ArcPy

FME is more the data side, so manipulating and analysing the data. FME can create the heatmap, but in your scenario I'd say getting ArcGIS Pro to do from the source vector data it is the better option - https://pro.arcgis.com/en/pro-app/latest/help/mapping/layer-properties/heat-map.htm

 

You can't* get FME to create an ArcGIS Pro project and do all the layer grouping and symbology, this needs to be done in ArcGIS Pro

 

In terms of output formats, GDB is probably the best approach

 

 

*You can, but you need to instead use the PythonCaller with ArcPy

Thank you very much for your response. The use of this dataset is to automate it using FME and the output will be provided to users, to simply drag and drop into arcGIS without doing any work.

 

I will look into GDB and PythonCaller.

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