Cluster analysis for different plant species with elevation, aspect, slope rasters using ArcGIS Desktop? The 2019 Stack Overflow Developer Survey Results Are In“Spatially normalizing” rasters of different extents to sum values of overlapping cells in ArcGIS Desktop?Multiply point values by raster valuesWhich Statistical Test to use?Calculating Slope, Flow Accumulation and Topographic Wetness Index (TWI) using ArcGIS for Desktop?Dividing polyline layer in clusters with specific requirements in ArcGIS for Desktop?Subtracting rasters from each other in batch using ArcGIS for Desktop?Faster way to calculate slope between two points on DEM using ArcGIS for Desktop?Recording height profile from raster along a polyline shapefile?Correlation between layersCleaning up a raster
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Cluster analysis for different plant species with elevation, aspect, slope rasters using ArcGIS Desktop?
The 2019 Stack Overflow Developer Survey Results Are In“Spatially normalizing” rasters of different extents to sum values of overlapping cells in ArcGIS Desktop?Multiply point values by raster valuesWhich Statistical Test to use?Calculating Slope, Flow Accumulation and Topographic Wetness Index (TWI) using ArcGIS for Desktop?Dividing polyline layer in clusters with specific requirements in ArcGIS for Desktop?Subtracting rasters from each other in batch using ArcGIS for Desktop?Faster way to calculate slope between two points on DEM using ArcGIS for Desktop?Recording height profile from raster along a polyline shapefile?Correlation between layersCleaning up a raster
.everyoneloves__top-leaderboard:empty,.everyoneloves__mid-leaderboard:empty,.everyoneloves__bot-mid-leaderboard:empty margin-bottom:0;
I am using ArcGIS Desktop.
I have a point shapefile for 5 different plant species and rasters (elevation, slope, aspect, canopy height). I am trying to find clusters for each species in terms of raster values (elevation, slope, aspect, canopy height). I need to figure out where cluster are spatially and significantly. So far, I ran extract multi values to points, and I have raster values for each point in attribute table. Then, I got stuck!
Do you have any ideas what to do next to have a visual layer ( raster or vector) where it shows the significant clusters?
arcgis-desktop spatial-statistics spatial-analysis spatial-cluster
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
add a comment |
I am using ArcGIS Desktop.
I have a point shapefile for 5 different plant species and rasters (elevation, slope, aspect, canopy height). I am trying to find clusters for each species in terms of raster values (elevation, slope, aspect, canopy height). I need to figure out where cluster are spatially and significantly. So far, I ran extract multi values to points, and I have raster values for each point in attribute table. Then, I got stuck!
Do you have any ideas what to do next to have a visual layer ( raster or vector) where it shows the significant clusters?
arcgis-desktop spatial-statistics spatial-analysis spatial-cluster
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
1
Have you looked into Ripley's K?
– Aaron♦
Nov 19 '17 at 5:49
Thank you @Aaron . Yes I did. It produced a table if there is any significant clusters. I am looking for something more visual for a power presentation along with statistical values.
– Oguz Sariyildiz
Nov 19 '17 at 5:56
1
It looks like the data was colected in transects, as such point pattern and density analysis are not valid here. All I can think of is an actual cluster analysis such as k-means but, it is not avalible in arcgis.
– Jeffrey Evans
Nov 19 '17 at 22:10
@JeffreyEvans Yes I thought the same. Now I am making Similarity Search rather than spatial analysis. Thanks for your comment!
– Oguz Sariyildiz
Nov 20 '17 at 0:59
add a comment |
I am using ArcGIS Desktop.
I have a point shapefile for 5 different plant species and rasters (elevation, slope, aspect, canopy height). I am trying to find clusters for each species in terms of raster values (elevation, slope, aspect, canopy height). I need to figure out where cluster are spatially and significantly. So far, I ran extract multi values to points, and I have raster values for each point in attribute table. Then, I got stuck!
Do you have any ideas what to do next to have a visual layer ( raster or vector) where it shows the significant clusters?
arcgis-desktop spatial-statistics spatial-analysis spatial-cluster
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
I am using ArcGIS Desktop.
I have a point shapefile for 5 different plant species and rasters (elevation, slope, aspect, canopy height). I am trying to find clusters for each species in terms of raster values (elevation, slope, aspect, canopy height). I need to figure out where cluster are spatially and significantly. So far, I ran extract multi values to points, and I have raster values for each point in attribute table. Then, I got stuck!
Do you have any ideas what to do next to have a visual layer ( raster or vector) where it shows the significant clusters?
arcgis-desktop spatial-statistics spatial-analysis spatial-cluster
arcgis-desktop spatial-statistics spatial-analysis spatial-cluster
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
edited Oct 4 '18 at 6:52
PolyGeo♦
53.9k1782246
53.9k1782246
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
asked Nov 19 '17 at 4:48
Oguz SariyildizOguz Sariyildiz
14611
14611
1
Have you looked into Ripley's K?
– Aaron♦
Nov 19 '17 at 5:49
Thank you @Aaron . Yes I did. It produced a table if there is any significant clusters. I am looking for something more visual for a power presentation along with statistical values.
– Oguz Sariyildiz
Nov 19 '17 at 5:56
1
It looks like the data was colected in transects, as such point pattern and density analysis are not valid here. All I can think of is an actual cluster analysis such as k-means but, it is not avalible in arcgis.
– Jeffrey Evans
Nov 19 '17 at 22:10
@JeffreyEvans Yes I thought the same. Now I am making Similarity Search rather than spatial analysis. Thanks for your comment!
– Oguz Sariyildiz
Nov 20 '17 at 0:59
add a comment |
1
Have you looked into Ripley's K?
– Aaron♦
Nov 19 '17 at 5:49
Thank you @Aaron . Yes I did. It produced a table if there is any significant clusters. I am looking for something more visual for a power presentation along with statistical values.
– Oguz Sariyildiz
Nov 19 '17 at 5:56
1
It looks like the data was colected in transects, as such point pattern and density analysis are not valid here. All I can think of is an actual cluster analysis such as k-means but, it is not avalible in arcgis.
– Jeffrey Evans
Nov 19 '17 at 22:10
@JeffreyEvans Yes I thought the same. Now I am making Similarity Search rather than spatial analysis. Thanks for your comment!
– Oguz Sariyildiz
Nov 20 '17 at 0:59
1
1
Have you looked into Ripley's K?
– Aaron♦
Nov 19 '17 at 5:49
Have you looked into Ripley's K?
– Aaron♦
Nov 19 '17 at 5:49
Thank you @Aaron . Yes I did. It produced a table if there is any significant clusters. I am looking for something more visual for a power presentation along with statistical values.
– Oguz Sariyildiz
Nov 19 '17 at 5:56
Thank you @Aaron . Yes I did. It produced a table if there is any significant clusters. I am looking for something more visual for a power presentation along with statistical values.
– Oguz Sariyildiz
Nov 19 '17 at 5:56
1
1
It looks like the data was colected in transects, as such point pattern and density analysis are not valid here. All I can think of is an actual cluster analysis such as k-means but, it is not avalible in arcgis.
– Jeffrey Evans
Nov 19 '17 at 22:10
It looks like the data was colected in transects, as such point pattern and density analysis are not valid here. All I can think of is an actual cluster analysis such as k-means but, it is not avalible in arcgis.
– Jeffrey Evans
Nov 19 '17 at 22:10
@JeffreyEvans Yes I thought the same. Now I am making Similarity Search rather than spatial analysis. Thanks for your comment!
– Oguz Sariyildiz
Nov 20 '17 at 0:59
@JeffreyEvans Yes I thought the same. Now I am making Similarity Search rather than spatial analysis. Thanks for your comment!
– Oguz Sariyildiz
Nov 20 '17 at 0:59
add a comment |
1 Answer
1
active
oldest
votes
One possible solution to your problem could be the following:
1) Go to Layer > Add Layer > Add/Edit Virtual Layer...
2) In the Create a virtual Layer window you could rename the default layer name, then press the Import button. After that, you will select the layer to embed and then you'll press ok.
3) Now, you have a virtual layer which will serve for our analysis. Open the virtual layer Properties, go to General tab and press the Query Builder button.
In the Provider specific filter expression please enter the following statement: "PlantType" = 'Persimmon'
5) If you wish, you could specify a label for the virtual layer features...
and finally you set a Heatmap style.
6) Now, you can easily identify where the Persimmon cluster is spatially significantly. Of course, you can set more complex queries, as desired.
The entire project can be downloaded from here.
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
add a comment |
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1 Answer
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1 Answer
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votes
One possible solution to your problem could be the following:
1) Go to Layer > Add Layer > Add/Edit Virtual Layer...
2) In the Create a virtual Layer window you could rename the default layer name, then press the Import button. After that, you will select the layer to embed and then you'll press ok.
3) Now, you have a virtual layer which will serve for our analysis. Open the virtual layer Properties, go to General tab and press the Query Builder button.
In the Provider specific filter expression please enter the following statement: "PlantType" = 'Persimmon'
5) If you wish, you could specify a label for the virtual layer features...
and finally you set a Heatmap style.
6) Now, you can easily identify where the Persimmon cluster is spatially significantly. Of course, you can set more complex queries, as desired.
The entire project can be downloaded from here.
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
add a comment |
One possible solution to your problem could be the following:
1) Go to Layer > Add Layer > Add/Edit Virtual Layer...
2) In the Create a virtual Layer window you could rename the default layer name, then press the Import button. After that, you will select the layer to embed and then you'll press ok.
3) Now, you have a virtual layer which will serve for our analysis. Open the virtual layer Properties, go to General tab and press the Query Builder button.
In the Provider specific filter expression please enter the following statement: "PlantType" = 'Persimmon'
5) If you wish, you could specify a label for the virtual layer features...
and finally you set a Heatmap style.
6) Now, you can easily identify where the Persimmon cluster is spatially significantly. Of course, you can set more complex queries, as desired.
The entire project can be downloaded from here.
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
add a comment |
One possible solution to your problem could be the following:
1) Go to Layer > Add Layer > Add/Edit Virtual Layer...
2) In the Create a virtual Layer window you could rename the default layer name, then press the Import button. After that, you will select the layer to embed and then you'll press ok.
3) Now, you have a virtual layer which will serve for our analysis. Open the virtual layer Properties, go to General tab and press the Query Builder button.
In the Provider specific filter expression please enter the following statement: "PlantType" = 'Persimmon'
5) If you wish, you could specify a label for the virtual layer features...
and finally you set a Heatmap style.
6) Now, you can easily identify where the Persimmon cluster is spatially significantly. Of course, you can set more complex queries, as desired.
The entire project can be downloaded from here.
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
One possible solution to your problem could be the following:
1) Go to Layer > Add Layer > Add/Edit Virtual Layer...
2) In the Create a virtual Layer window you could rename the default layer name, then press the Import button. After that, you will select the layer to embed and then you'll press ok.
3) Now, you have a virtual layer which will serve for our analysis. Open the virtual layer Properties, go to General tab and press the Query Builder button.
In the Provider specific filter expression please enter the following statement: "PlantType" = 'Persimmon'
5) If you wish, you could specify a label for the virtual layer features...
and finally you set a Heatmap style.
6) Now, you can easily identify where the Persimmon cluster is spatially significantly. Of course, you can set more complex queries, as desired.
The entire project can be downloaded from here.
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
answered Nov 19 '17 at 17:13
Sorin CălinicăSorin Călinică
4,49811121
4,49811121
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
add a comment |
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
Thanks for your thorough explanation and answer but I am working with Arcgis Desktop version. I need to start learning qgis soon.
– Oguz Sariyildiz
Nov 19 '17 at 17:27
add a comment |
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1
Have you looked into Ripley's K?
– Aaron♦
Nov 19 '17 at 5:49
Thank you @Aaron . Yes I did. It produced a table if there is any significant clusters. I am looking for something more visual for a power presentation along with statistical values.
– Oguz Sariyildiz
Nov 19 '17 at 5:56
1
It looks like the data was colected in transects, as such point pattern and density analysis are not valid here. All I can think of is an actual cluster analysis such as k-means but, it is not avalible in arcgis.
– Jeffrey Evans
Nov 19 '17 at 22:10
@JeffreyEvans Yes I thought the same. Now I am making Similarity Search rather than spatial analysis. Thanks for your comment!
– Oguz Sariyildiz
Nov 20 '17 at 0:59