Dear Researchers,
I want to make a heat map for about 160 points (Lat,Long).
I have Lat and Long for these 160 points, and each point has a specified value.
I searched a lot but I could not found any suitable solution.
You can find two examples below.
Thanks all
Hi, if I understand well you need the distribution map(s) for you 160 values located in Lat and Long. The simplest (in my opinion) method is using density raster calculation. The result is a bit map with a continuous field of data. This function (Density) you can find in ArcGis extension "Spatial Analyst". Other GIS programmes should have something similar too. You can modify the resolution of the map using different values for search radius that you must enter.
Of course there are other function you can use for raster map calculation (e.g. Kriging), but it depends on your needs and character of data (if you have data in random coordinates or if you use a specific pattern for sampling. You can find basic information in Spatial Analyst manual of ArcGis.
I hope it helps
Petr
Hi Omid,
I second the answers of Petr and Lindsay. But I would like to point out that what you probably need is not a heat map/density map but rather the result of interpolation. As noted by Petr, the Esri's Spatial Analyst documentation is a good source of information for the novice. If you don't have access to ArcGIS software, I would also encourage you to use QGIS, which is easy to use open source with extensive (step-by-step) manuals throughout the internet. In case you would be more interested in interpolations I can recommend you the book A practical guide to geostatistical mapping (link below).
The other thing is dealing with two examples provided. It is necessary to say that these two maps were created by different procedures.
- The second example is the result of interpolation - i.e. the continuous surface is a result of interpolation based on point sources (events). Meaning that this is probably what you aim for.
- While the first example is rather the synthesis of several maps resulting in classified typology (zones). This map is based on several underlying phenomena (e.g. temperature, precipitation, winds, ...). So it can be the composition of several classified interpolated maps.
Regards
Lukas
http://help.arcgis.com/en/arcgisdesktop/10.0/pdf/spatial-analyst-tutorial.pdf
https://www.esri.com/news/arcuser/0704/files/interpolating.pdf
http://www.qgistutorials.com/en/docs/interpolating_point_data.html
http://spatial-analyst.net/book/
Thanks Mr. Nematollahi,
By the way, I saw a similar case in one of your articles.
Could you send me a tutorial about that?
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