[Qgis-user] Draw a path by picking heavy density areas

Nicolas Cadieux njacadieux.gitlab at gmail.com
Mon Feb 14 07:42:03 PST 2022


Hi,

You can use the Shortest path analysis available in "Network Analysis".  
You may find something in the QNEAT3 plugin.

Perhaps this can help:

https://www.mdpi.com/2306-5729/5/1/8: An article I wrote about using 
shortest path analysis

3 models to help debug your road network

https://plugins.qgis.org/models/15/

https://plugins.qgis.org/models/16/

https://plugins.qgis.org/models/17/

A youtube video that explains the models.

Is your directional GIS network driving you crazy? 
https://youtu.be/v61PafSByvM <https://youtu.be/v61PafSByvM>

Keep in mind, I was dealing with rivers and not roads with traffic rules.

Nicolas









On 2022-02-14 9:53 a.m., krishna Ayyala wrote:
> Thanks for the reply Nicolas. It needs to follow the roads.
>
> Regards.
>
> On Mon, Feb 14, 2022 at 4:57 AM Nicolas Cadieux 
> <njacadieux.gitlab at gmail.com> wrote:
>
>     Hi,
>
>     Can you add extra information?  What kind on path are you looking
>     for? Do you need a path between each point in each area?  Do you
>     need to follow roads, rivers or is this a straight line of sight
>     path?
>
>     You can use the “count points in the polygon” functions found in
>     processing to identify what polygon have more points.  You could
>     generate the “area” of each polygon in the field calculator in
>     ordre to figure out the density.  Look for “network’ in processing
>     and in the plugins to see what is available for path analysis.
>
>     Nicolas Cadieux
>     https://gitlab.com/njacadieux
>
>>     Le 13 févr. 2022 à 19:22, krishna Ayyala
>>     <ayyalakrishna at gmail.com> a écrit :
>>
>>     
>>     Hello,
>>     I have a polygon with points as distributed below. Is there a
>>     tool in QGIS to draw a path such that the path runs through the
>>     heavy population areas? I do not require a path at the least
>>     populated areas.
>>
>>     Regards.
>>     <image.png>
>>
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-- 
Nicolas Cadieux
https://gitlab.com/njacadieux
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