OpenJump LoCoH Analysis Output? Planned maintenance scheduled April 23, 2019 at 00:00UTC...
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OpenJump LoCoH Analysis Output?
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I really need some help! I am doing a k-LoCoH analysis in OpenJump. The analysis is working, but I'm having trouble understanding the output. There is a "density" column in the output, and I'm not sure what units this is in, or what it indicates. I know by highlighting some of the polygons that the higher the number in the density column the more used the area...but I still would like to know what this number actually means before I continue with my results! Please help!!
convex-hull openjump
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
add a comment |
I really need some help! I am doing a k-LoCoH analysis in OpenJump. The analysis is working, but I'm having trouble understanding the output. There is a "density" column in the output, and I'm not sure what units this is in, or what it indicates. I know by highlighting some of the polygons that the higher the number in the density column the more used the area...but I still would like to know what this number actually means before I continue with my results! Please help!!
convex-hull openjump
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
What is "k-LoCoH analysis"? Is there some plugin for that?
– user30184
Jan 12 '16 at 21:17
k-LoCoH is part of the HoRAE (Home Range Analysis and Estimation) toolbox for OpenJump. It's super useful - however I really need help understanding what the "density" signifies in the attribute table...
– Jeynaba
Jan 13 '16 at 2:22
add a comment |
I really need some help! I am doing a k-LoCoH analysis in OpenJump. The analysis is working, but I'm having trouble understanding the output. There is a "density" column in the output, and I'm not sure what units this is in, or what it indicates. I know by highlighting some of the polygons that the higher the number in the density column the more used the area...but I still would like to know what this number actually means before I continue with my results! Please help!!
convex-hull openjump
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
I really need some help! I am doing a k-LoCoH analysis in OpenJump. The analysis is working, but I'm having trouble understanding the output. There is a "density" column in the output, and I'm not sure what units this is in, or what it indicates. I know by highlighting some of the polygons that the higher the number in the density column the more used the area...but I still would like to know what this number actually means before I continue with my results! Please help!!
convex-hull openjump
convex-hull openjump
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
asked Jan 12 '16 at 19:30
JeynabaJeynaba
62
62
What is "k-LoCoH analysis"? Is there some plugin for that?
– user30184
Jan 12 '16 at 21:17
k-LoCoH is part of the HoRAE (Home Range Analysis and Estimation) toolbox for OpenJump. It's super useful - however I really need help understanding what the "density" signifies in the attribute table...
– Jeynaba
Jan 13 '16 at 2:22
add a comment |
What is "k-LoCoH analysis"? Is there some plugin for that?
– user30184
Jan 12 '16 at 21:17
k-LoCoH is part of the HoRAE (Home Range Analysis and Estimation) toolbox for OpenJump. It's super useful - however I really need help understanding what the "density" signifies in the attribute table...
– Jeynaba
Jan 13 '16 at 2:22
What is "k-LoCoH analysis"? Is there some plugin for that?
– user30184
Jan 12 '16 at 21:17
What is "k-LoCoH analysis"? Is there some plugin for that?
– user30184
Jan 12 '16 at 21:17
k-LoCoH is part of the HoRAE (Home Range Analysis and Estimation) toolbox for OpenJump. It's super useful - however I really need help understanding what the "density" signifies in the attribute table...
– Jeynaba
Jan 13 '16 at 2:22
k-LoCoH is part of the HoRAE (Home Range Analysis and Estimation) toolbox for OpenJump. It's super useful - however I really need help understanding what the "density" signifies in the attribute table...
– Jeynaba
Jan 13 '16 at 2:22
add a comment |
2 Answers
2
active
oldest
votes
The OpenJUMP HoRAE download http://www.geo.uzh.ch/~sstein/ojhorae/openjump171plus_moveantools_oct2014.zip comes with manual "horae_documentation_v1.2final.pdf". The description of the KDE method on page 17:
In general the KDE method will return a raster with each grid cell
containing a “density” value, and not home range polygons. To derive
the home range polygons a contouring algorithm needs to be applied.
Assuming that density can be related to probability it can be said
that a grid cell (i.e. location) with some density value reflects a
probability that the animal can be found in that cell. If the value of
a cell is zero, the animal is unlikely to be found there. Hence, if we
want the area that has a 95% probability of encountering the animal
within, we will calculate a contour line that encloses 95% of the
density of all cells (volume).
I have no experience about KDE but it seems to me that the unit of density is related to probability but the scale is not fixed. The upper limit of scale may be different for individual source data set and for analysis made with different parameters. Density value of 0 means always that it is unlikely to meet animals in that cell but density value of 100 does not tell anything as is but you must make statistical analysis first to reveal where value 100 stands in the probability curve.
Be careful with my answer because I know nothing about home range analysis and KDE method. Fortunately it is easy to find good reading because the author, Stefan Steiniger, is listing eight scientific literature references about the KDE method tens more about HoRAE in general in the HoRAE manual.
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
add a comment |
It should be a simple count of the number of convex hulls/observation points that the cell is related to. So, if the count number is higher its more likely that the animal can be found in the cell.
answered 11 mins ago
mentaermentaer
313
add a comment |
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2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
The OpenJUMP HoRAE download http://www.geo.uzh.ch/~sstein/ojhorae/openjump171plus_moveantools_oct2014.zip comes with manual "horae_documentation_v1.2final.pdf". The description of the KDE method on page 17:
In general the KDE method will return a raster with each grid cell
containing a “density” value, and not home range polygons. To derive
the home range polygons a contouring algorithm needs to be applied.
Assuming that density can be related to probability it can be said
that a grid cell (i.e. location) with some density value reflects a
probability that the animal can be found in that cell. If the value of
a cell is zero, the animal is unlikely to be found there. Hence, if we
want the area that has a 95% probability of encountering the animal
within, we will calculate a contour line that encloses 95% of the
density of all cells (volume).
I have no experience about KDE but it seems to me that the unit of density is related to probability but the scale is not fixed. The upper limit of scale may be different for individual source data set and for analysis made with different parameters. Density value of 0 means always that it is unlikely to meet animals in that cell but density value of 100 does not tell anything as is but you must make statistical analysis first to reveal where value 100 stands in the probability curve.
Be careful with my answer because I know nothing about home range analysis and KDE method. Fortunately it is easy to find good reading because the author, Stefan Steiniger, is listing eight scientific literature references about the KDE method tens more about HoRAE in general in the HoRAE manual.
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
add a comment |
The OpenJUMP HoRAE download http://www.geo.uzh.ch/~sstein/ojhorae/openjump171plus_moveantools_oct2014.zip comes with manual "horae_documentation_v1.2final.pdf". The description of the KDE method on page 17:
In general the KDE method will return a raster with each grid cell
containing a “density” value, and not home range polygons. To derive
the home range polygons a contouring algorithm needs to be applied.
Assuming that density can be related to probability it can be said
that a grid cell (i.e. location) with some density value reflects a
probability that the animal can be found in that cell. If the value of
a cell is zero, the animal is unlikely to be found there. Hence, if we
want the area that has a 95% probability of encountering the animal
within, we will calculate a contour line that encloses 95% of the
density of all cells (volume).
I have no experience about KDE but it seems to me that the unit of density is related to probability but the scale is not fixed. The upper limit of scale may be different for individual source data set and for analysis made with different parameters. Density value of 0 means always that it is unlikely to meet animals in that cell but density value of 100 does not tell anything as is but you must make statistical analysis first to reveal where value 100 stands in the probability curve.
Be careful with my answer because I know nothing about home range analysis and KDE method. Fortunately it is easy to find good reading because the author, Stefan Steiniger, is listing eight scientific literature references about the KDE method tens more about HoRAE in general in the HoRAE manual.
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
add a comment |
The OpenJUMP HoRAE download http://www.geo.uzh.ch/~sstein/ojhorae/openjump171plus_moveantools_oct2014.zip comes with manual "horae_documentation_v1.2final.pdf". The description of the KDE method on page 17:
In general the KDE method will return a raster with each grid cell
containing a “density” value, and not home range polygons. To derive
the home range polygons a contouring algorithm needs to be applied.
Assuming that density can be related to probability it can be said
that a grid cell (i.e. location) with some density value reflects a
probability that the animal can be found in that cell. If the value of
a cell is zero, the animal is unlikely to be found there. Hence, if we
want the area that has a 95% probability of encountering the animal
within, we will calculate a contour line that encloses 95% of the
density of all cells (volume).
I have no experience about KDE but it seems to me that the unit of density is related to probability but the scale is not fixed. The upper limit of scale may be different for individual source data set and for analysis made with different parameters. Density value of 0 means always that it is unlikely to meet animals in that cell but density value of 100 does not tell anything as is but you must make statistical analysis first to reveal where value 100 stands in the probability curve.
Be careful with my answer because I know nothing about home range analysis and KDE method. Fortunately it is easy to find good reading because the author, Stefan Steiniger, is listing eight scientific literature references about the KDE method tens more about HoRAE in general in the HoRAE manual.
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
The OpenJUMP HoRAE download http://www.geo.uzh.ch/~sstein/ojhorae/openjump171plus_moveantools_oct2014.zip comes with manual "horae_documentation_v1.2final.pdf". The description of the KDE method on page 17:
In general the KDE method will return a raster with each grid cell
containing a “density” value, and not home range polygons. To derive
the home range polygons a contouring algorithm needs to be applied.
Assuming that density can be related to probability it can be said
that a grid cell (i.e. location) with some density value reflects a
probability that the animal can be found in that cell. If the value of
a cell is zero, the animal is unlikely to be found there. Hence, if we
want the area that has a 95% probability of encountering the animal
within, we will calculate a contour line that encloses 95% of the
density of all cells (volume).
I have no experience about KDE but it seems to me that the unit of density is related to probability but the scale is not fixed. The upper limit of scale may be different for individual source data set and for analysis made with different parameters. Density value of 0 means always that it is unlikely to meet animals in that cell but density value of 100 does not tell anything as is but you must make statistical analysis first to reveal where value 100 stands in the probability curve.
Be careful with my answer because I know nothing about home range analysis and KDE method. Fortunately it is easy to find good reading because the author, Stefan Steiniger, is listing eight scientific literature references about the KDE method tens more about HoRAE in general in the HoRAE manual.
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
answered Jan 13 '16 at 8:11
user30184user30184
30.1k23158
30.1k23158
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
add a comment |
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
Thanks for your response - but I am not running a KDE analysis, I am doing a LoCoH. I have read the manual, and there is no information about the attribute table LoCoH produces. Also, the ranges of values within the density column is from a 3 digit number to a 7 digit number, leading me to believe that it is not a probability. Any help on reading the attribute table for LoCoH is greatly appreciated!!!
– Jeynaba
Jan 13 '16 at 14:04
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
I would try to find a library which has an article by Getz and Wilmers (2004) and the refined one by Getz et al. (2007) and check what they say about the method. I believe also that Stefan Steiniger is following OpenJUMP users and developers mailing lists.
– user30184
Jan 13 '16 at 15:08
add a comment |
It should be a simple count of the number of convex hulls/observation points that the cell is related to. So, if the count number is higher its more likely that the animal can be found in the cell.
answered 11 mins ago
mentaermentaer
313
add a comment |
It should be a simple count of the number of convex hulls/observation points that the cell is related to. So, if the count number is higher its more likely that the animal can be found in the cell.
answered 11 mins ago
mentaermentaer
313
add a comment |
It should be a simple count of the number of convex hulls/observation points that the cell is related to. So, if the count number is higher its more likely that the animal can be found in the cell.
answered 11 mins ago
mentaermentaer
313
It should be a simple count of the number of convex hulls/observation points that the cell is related to. So, if the count number is higher its more likely that the animal can be found in the cell.
answered 11 mins ago
mentaermentaer
313
answered 11 mins ago
mentaermentaer
313
answered 11 mins ago
mentaermentaer
313
answered 11 mins ago
mentaermentaer
313
313
add a comment |
add a comment |
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What is "k-LoCoH analysis"? Is there some plugin for that?
– user30184
Jan 12 '16 at 21:17
k-LoCoH is part of the HoRAE (Home Range Analysis and Estimation) toolbox for OpenJump. It's super useful - however I really need help understanding what the "density" signifies in the attribute table...
– Jeynaba
Jan 13 '16 at 2:22