Glossary - Revision history

RobertKenward at 12:55, 11 December 2014

2014-12-11T12:55:16Z

← Older revision		Revision as of 12:55, 11 December 2014
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	'''Accuracy ellipses''' are generated round Locations from bearing data by some packages (e.g. LOCATE II).		'''Accuracy ellipses''' are generated round Locations from bearing data by some packages (e.g. LOCATE II).

	'''Activity centre''' is is calculated as the Arithmetic mean, Recalculated Arithmetic mean or Harmonic mean centre for a set of Locations (a Range).		'''Activity centre''' is calculated as the Arithmetic mean, Recalculated Arithmetic mean or Harmonic mean centre for a set of Locations (a Range).

	'''Arithmetic mean''' is the mean of x and y coordinates for a Range.		'''Arithmetic mean''' is the mean of x and y coordinates for a Range.
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	'''Recalculated Arithmetic mean''' is the mean x and y coordinates, recalculated after each Location of a Peeled Polygon is excluded.		'''Recalculated Arithmetic mean''' is the mean x and y coordinates, recalculated after each Location of a Peeled Polygon is excluded.

	'''Schoener's index''' increases from 0 with decreasing spatio-temporal dependence between Locations (= mean squared distances between Locations / mean squared distance from each Location to the Arithmetic ~~Mean~~ activity centre).		'''Schoener's index''' increases from 0 with decreasing spatio-temporal dependence between Locations (= mean squared distances between Locations / mean squared distance from each Location to the Arithmetic mean activity centre).

	'''Shape files''' are the standard Polygon format in an ESRI GIS.		'''Shape files''' are the standard Polygon format in an ESRI GIS.

	'''Skew''' in the Location density distribution is estimated during Harmonic Mean and Kernel contouring (the Euclidean distance between the Arithmetic ~~Mean~~ centre and the Location with the peak density value, divided by the standard deviation of the density value across all the Locations).		'''Skew''' in the Location density distribution is estimated during Harmonic Mean and Kernel contouring (the Euclidean distance between the Arithmetic mean centre and the Location with the peak density value, divided by the standard deviation of the density value across all the Locations).

	'''Simpson's index''' increases from 1 with increasing diversity between Polygons in Cluster analysis.		'''Simpson's index''' increases from 1 with increasing diversity between Polygons in Cluster analysis.

RobertKenward at 12:53, 11 December 2014

2014-12-11T12:53:56Z

RobertKenward at 10:48, 29 November 2014

2014-11-29T10:48:28Z

← Older revision		Revision as of 10:48, 29 November 2014
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	'''Dispersion''' (in contour analyses) the peak density value (at the range centre location) divided by the standard deviation of the density value across all the locations.		'''Dispersion''' (in contour analyses) the peak density value (at the range centre location) divided by the standard deviation of the density value across all the locations.

			'''Diversity of areas''' in Cluster analysis are Simpson's index for the areas within all the cluster Hulls in a Range.

			'''Diversity of locations''' in Cluster analysis are Simpson's index for the numbers of locations within all the cluster Hulls in a Range.

	'''Edge''' denotes an outline estimated round locations as a polygon or by contouring.		'''Edge''' denotes an outline estimated round locations as a polygon or by contouring.
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	'''Nearest Neighbour distance''' is the minimum distance between spatially separate Locations.		'''Nearest Neighbour distance''' is the minimum distance between spatially separate Locations.

	'''Neighbour Linkage analyses''' estimate Hulls round Locations whose individual or summed Nearest Neighbour distances do not exceed a certain value.		'''Neighbour Linkage analyses''' estimate Hulls round Locations whose individual or summed Nearest Neighbour distances do not exceed a certain value.

			'''Nuclei''' are the number of separate Hulls defined by Cluster Analaysis.

	'''Objective Cores''' exclude Locations more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.		'''Objective Cores''' exclude Locations more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.

	'''OREP''' Objective Restrictive Edge Polygons have maximum peripheral edge distances less than a criterion based on the distribution of all Nearest Neighbour distances.		'''OREP''' Objective Restrictive Edge Polygons have maximum peripheral edge distances less than a criterion based on the distribution of all Nearest Neighbour distances.

			'''Outlier exclusion distances''' (OEDs) are derived from the distribution of all Nearest Neighbour distances as either the distance that excludes the outermost 5% of the distribution, or by iterative exclusion of each distances beyond an alpha level until no locations exceed that level.

	'''Outlier locations''' are those more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.		'''Outlier locations''' are those more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.
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	'''Skew''' in the Location density distribution is estimated during harmonic mean & kernel contouring ( the Euclidean distance between the arithmetic mean centre and the location with the peak density value, divided by the standard deviation of the density value across all the locations).		'''Skew''' in the Location density distribution is estimated during harmonic mean & kernel contouring ( the Euclidean distance between the arithmetic mean centre and the location with the peak density value, divided by the standard deviation of the density value across all the locations).

	'''Simpson's index''' increases from 1 with increasing diversity between ~~Clusters~~.		'''Simpson's index''' increases from 1 with increasing diversity between polygons in Cluster analysis.

	'''Smoothing factor''' modulates the density function in Kernel analyses to improve fit of Contours.		'''Smoothing factor''' modulates the density function in Kernel analyses to improve fit of Contours.

RobertKenward at 17:53, 18 November 2014

2014-11-18T17:53:36Z

← Older revision		Revision as of 17:53, 18 November 2014
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	'''Tracking resolution''' is the smallest distance that can be recorded between adjacent Locations.		'''Tracking resolution''' is the smallest distance that can be recorded between adjacent Locations.

			'''Usual area''' is the single polygon that encloses all the separate cluster polygons on a Range Core.

	'''Utilisation plots''' are of range area against percentages of Location inclusion or location density.		'''Utilisation plots''' are of range area against percentages of Location inclusion or location density.

RobertKenward at 19:18, 10 November 2014

2014-11-10T19:18:28Z

Show changes

RobertKenward at 18:49, 10 November 2014

2014-11-10T18:49:37Z

← Older revision		Revision as of 18:49, 10 November 2014
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	'''Cluster analysis''' joins locations in groups based on the Nearest neighbour distances between them.		'''Cluster analysis''' joins locations in groups based on the Nearest neighbour distances between them.

	'''~~Core~~''' ~~denotes one~~ or ~~more high areas of high~~ Location ~~density in a range~~.		'''Contour analysis''' plots Isolines across a Density matrix to represent either on a probabilistic or Location-inclusive Utilisation distribution.

	'''~~Contour analysis~~''' ~~plots Isolines across a Density matrix to represent either on a probabilistic~~ or Location~~-inclusive Utilisation distribution~~.		'''Core''' denotes one or more areas of high Location density in a set of Locations.

	'''CSV files''' are composed of Comma Separated Values (other separators are Break/Space and Tab).		'''CSV files''' are composed of Comma Separated Values (other separators are Break/Space and Tab).
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	'''Polygons''' are formed by lines round a set of vertices, which may be Locations, corners on Vector maps or equal values interpolated on a Density matrix.		'''Polygons''' are formed by lines round a set of vertices, which may be Locations, corners on Vector maps or equal values interpolated on a Density matrix.

	'''RADA''' ~~TODO~~		'''RADA''' Resource Area Dependence Analysis uses negative correlations of (log) range area with (log) resource metric (e.g. habitat proportion) to detect resources that are important enough for animals to expand the area they cover in order to provide an adequate supply.

			'''Range Core''' denotes one or more areas of high Location density in a set of Locations.

	'''Range variables''' are seven values that code ID, age, sex, month, year and focal site coordinates.		'''Range variables''' are seven values that code ID, age, sex, month, year and focal site coordinates.

RobertKenward at 18:38, 10 November 2014

2014-11-10T18:38:27Z

← Older revision		Revision as of 18:38, 10 November 2014
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	'''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N )		'''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N )

	'''Hull''' is a polygon with vertices fitted to a set of locations		'''Hull''' is a polygon with vertices fitted to a set of locations; a Convex Hull has all external angles greater than 180°.

	'''Incremental analysis''' estimates and plots the change in range area as successive locations are added.		'''Incremental analysis''' estimates and plots the change in range area as successive locations are added.
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	'''Location Qualifying Variables''' (LQVs) are time, activity, habitat, values associated with x,y coordinates.		'''Location Qualifying Variables''' (LQVs) are time, activity, habitat, values associated with x,y coordinates.

	'''Nearest ~~neighbour~~ distances''' are the minimum distance between spatially separate locations.		'''Nearest Neighbour distances''' are the minimum distance between spatially separate locations.

	'''Neighbour Linkage ~~Analyses~~''' estimate Hulls round locations whose individual or summed Nearest neighbour distances do not exceed a certain value.		'''Neighbour Linkage analyses''' estimate Hulls round locations whose individual or summed Nearest neighbour distances do not exceed a certain value.

	'''Objective Cores''' ~~TODO~~		'''Objective Cores''' exclude Locations more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.

	'''OREP''' Objective Restrictive Edge Polygons ~~TODO~~		'''OREP''' Objective Restrictive Edge Polygons have maximum peripheral edge distances less than a criterion based on the distribution of all Nearest Neighbour distances.

	'''Outlier locations''' are those ~~beyond~~ the ~~main~~ distribution of ~~locations~~.		'''Outlier locations''' are those more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.

	'''Overlap matrices''' are formed as % overlaps of range A on B and B on A.		'''Overlap matrices''' are formed as % overlaps of range A on B and B on A.
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	'''Partial area''' is the summed area of clusters divided by a single area encompassing all clusters.		'''Partial area''' is the summed area of clusters divided by a single area encompassing all clusters.

	'''Polygons''' are formed by ~~joining edge~~ lines round a set of ~~locations~~.		'''Polygons''' are formed by lines round a set of vertices, which may be Locations, corners on Vector maps or equal values interpolated on a Density matrix.

	'''RADA''' TODO		'''RADA''' TODO
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	'''Vector maps''' are composed of lines and closed shapes defined by a sequence of x,y coordinates.		'''Vector maps''' are composed of lines and closed shapes defined by a sequence of x,y coordinates.

	'''Width of a range''' is the maximum diagonal dimension of a ~~polygon~~ enclosing all the locations.		'''Width of a range''' is the maximum diagonal dimension of a Convex Hull enclosing all the locations.

RobertKenward at 17:44, 10 November 2014

2014-11-10T17:44:09Z

Admin at 11:06, 10 November 2014

2014-11-10T11:06:24Z

← Older revision		Revision as of 11:06, 10 November 2014
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	'''Utilisation plots''' are of range area against increase in location density until all are included.		'''Utilisation plots''' are of range area against increase in location density until all are included.

			'''UTM''' stands for Universal Transverse Mercator is a two-dimensional Cartesian coordinate system to give locations on the surface of the Earth.

	'''Vector maps''' are composed of lines and closed shapes defined by a sequence of x,y coordinates.		'''Vector maps''' are composed of lines and closed shapes defined by a sequence of x,y coordinates.

	'''Width of a range''' is the maximum diagonal dimension of a polygon enclosing all the locations.		'''Width of a range''' is the maximum diagonal dimension of a polygon enclosing all the locations.

RobertKenward at 10:46, 10 November 2014

2014-11-10T10:46:08Z

← Older revision		Revision as of 10:46, 10 November 2014
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	'''Ellipse asymmetry''' is the ratio of the standard deviations along the major and minor axes.		'''Ellipse asymmetry''' is the ratio of the standard deviations along the major and minor axes.

			'''End date''' in a Kaplan Meier Survival analysis is the date to which survival should be estimated; by default the last date for any animal, it may be set earlier to ensure an adequate sample in the last interval or to analyses a particular season; see also Start date.

	'''Focal site''' denotes an attraction point in a range, such as a den or nest.		'''Focal site''' denotes an attraction point in a range, such as a den or nest.
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	'''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N )		'''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N )

			'''Hull''' TODO

	'''Incremental analysis''' estimates the change in range area as successive locations are added.		'''Incremental analysis''' estimates the change in range area as successive locations are added.
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	'''Jacob's index''' has values between -1 and +1 to indicate attraction versus avoidance.		'''Jacob's index''' has values between -1 and +1 to indicate attraction versus avoidance.

	'''Kaplan Meier Survival''' plots survival in intervals ~~following start~~ dates in .srv files and tests for significance between cohorts.		'''Kaplan Meier Survival''' plots survival in intervals between Start dates and End dates in .srv files and tests for significance between cohorts.

	'''Kernel analyses''' are based on estimating location density as functions of distance.		'''Kernel analyses''' are based on estimating location density as functions of distance.
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	'''Spread''' of a range is the grand mean of distances between all the locations.		'''Spread''' of a range is the grand mean of distances between all the locations.

			'''Start date''' in a Kaplan Meier Survival analysis is the date from which survival should be estimated; by default the first date for any animal, it may be set later to ensure an adequate sample in the first interval or to analyses a particular season; see also End date.

	'''Tracking resolution''' is the smallest distance that can be recorded between adjacent locations.		'''Tracking resolution''' is the smallest distance that can be recorded between adjacent locations.

← Older revision		Revision as of 12:53, 11 December 2014
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	'''Activity centre''' is is calculated as the Arithmetic mean, Recalculated Arithmetic mean or Harmonic mean centre for a set of Locations (a Range).		'''Activity centre''' is is calculated as the Arithmetic mean, Recalculated Arithmetic mean or Harmonic mean centre for a set of Locations (a Range).

	'''Arithmetic mean''' is the mean x and y coordinates for a Range.		'''Arithmetic mean''' is the mean of x and y coordinates for a Range.

	'''Autocorrelation analysis''' estimates the degree of spatio-temporal dependence of Locations.		'''Autocorrelation analysis''' estimates the degree of spatio-temporal dependence of Locations.
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	'''Bivariate ellipses''' are based on Location distributions along a major and a minor axis.		'''Bivariate ellipses''' are based on Location distributions along a major and a minor axis.

	'''Boundary strips''' round Locations in ~~Hulls~~ have a width of half the ~~tracking~~ resolution.		'''Boundary strips''' round Locations in Polygons have a width of half the Tracking resolution.

	'''Byte arrays''' are Ranges storage format for ~~raster~~ maps; each byte codes for 1 raster.		'''Byte arrays''' are Ranges storage format for Raster maps; each byte codes for 1 raster.

	'''Centroid distance''' in Cluster analysis is from an Arithmetic mean to all the Locations in a ~~cluster~~.		'''Centroid distance''' in Cluster analysis is from an Arithmetic mean to all the Locations in a Cluster.

	'''Cluster analysis''' joins Locations in groups based on the Nearest Neighbour distances between them.		'''Cluster analysis''' joins Locations in groups based on the Nearest Neighbour distances between them.
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	'''Dispersal detection''' provides an objective estimate of when animals leave an area.		'''Dispersal detection''' provides an objective estimate of when animals leave an area.

	'''Dispersion''' (in contour analyses) the peak density value (at the range centre location) divided by the standard deviation of the density value across all the ~~locations~~.		'''Dispersion''' (in contour analyses) the peak density value (at the range centre location) divided by the standard deviation of the density value across all the Locations.

	'''Diversity of areas''' in Cluster analysis are Simpson's index for the areas within all the cluster ~~Hulls~~ in a Range.		'''Diversity of areas''' in Cluster analysis are Simpson's index for the areas within all the cluster Polygons in a Range.

	'''Diversity of locations''' in Cluster analysis are Simpson's index for the numbers of ~~locations~~ within all the cluster Hulls in a Range.		'''Diversity of locations''' in Cluster analysis are Simpson's index for the numbers of Locations within all the cluster Hulls in a Range.

	'''Edge''' denotes an outline estimated round locations as a polygon or by contouring.		'''Edge''' denotes an outline estimated round locations as a polygon or by contouring.
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	'''ESRI''' is the Environmental Systems Research Institute, which supplies GIS software.		'''ESRI''' is the Environmental Systems Research Institute, which supplies GIS software.

	'''Grid cells''' are as wide as the ~~location~~ resolution.		'''Grid cells''' are as wide as the Location resolution.

	'''GIS''' is a Geographic Information System.		'''GIS''' is a Geographic Information System.
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	'''Habitat shapes''' are formed from a clockwise set of x,y values with the same start and end point.		'''Habitat shapes''' are formed from a clockwise set of x,y values with the same start and end point.

	'''Harmonic Mean analyses''' are based on the inverse reciprocal mean of distances.		'''Harmonic Mean analyses''' are based on the inverse reciprocal mean of distances to Locations.

	'''Harmonic Mean centre''' is the Location in a Range at which the inverse reciprocal mean of distances to all other Locations is minimal.		'''Harmonic Mean centre''' is the Location in a Range at which the inverse reciprocal mean of distances to all other Locations is minimal.

	'''hRef''' is the reference ~~smoothing~~ parameter in ~~kernel~~ analyses ( SD / sixth root N )		'''hRef''' is the reference Smoothing parameter in Kernel analyses ( SD / sixth root N )

	'''Hull''' is a ~~polygon~~ with vertices fitted to a set of Locations; a Convex Hull has all external angles greater than 180°.		'''Hull''' is a Polygon with vertices fitted to a set of Locations; a Convex Hull has all external angles greater than 180°.

	'''Incremental analysis''' estimates and plots the change in ~~range~~ area as successive ~~locations~~ are added.		'''Incremental analysis''' estimates and plots the change in Range area as successive Locations are added.

	'''Isolines of equal location density''' are created during ~~contour~~ analysis and converted to ~~polygons~~.		'''Isolines of equal location density''' are created during Contour analysis and converted to Polygons.

	'''Jacob's index''' has values between -1 and +1 to indicate attraction versus avoidance.		'''Jacob's index''' has values between -1 and +1 to indicate attraction versus avoidance.
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	'''Nearest Neighbour distance''' is the minimum distance between spatially separate Locations.		'''Nearest Neighbour distance''' is the minimum distance between spatially separate Locations.

	'''Neighbour Linkage analyses''' estimate ~~Hulls~~ round Locations whose individual or summed Nearest Neighbour distances do not exceed a certain value.		'''Neighbour Linkage analyses''' estimate Polygons round Locations whose individual or summed Nearest Neighbour distances do not exceed a certain value.

	'''Nuclei''' are the number of separate ~~Hulls~~ defined by Cluster Analaysis.		'''Nuclei''' are the number of separate Polygons defined by Cluster Analaysis.

	'''Objective Cores''' exclude Locations more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.		'''Objective Cores''' exclude Locations more isolated than a criterion distance based on the distribution of all Nearest Neighbour distances.
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	'''Raster maps''' are composed of equal-size rectangles with different habitat codes.		'''Raster maps''' are composed of equal-size rectangles with different habitat codes.

	'''Range outline''' denotes ~~a Hull~~ or ~~Contour~~ fitted to some or all the Locations in a Range.		'''Range outline''' denotes one or more Polygons (including Hulls and Contours) fitted to some or all the Locations in a Range.

	'''Recalculated Arithmetic mean''' is the mean x and y coordinates, recalculated after each Location of a Peeled Polygon is excluded.		'''Recalculated Arithmetic mean''' is the mean x and y coordinates, recalculated after each Location of a Peeled Polygon is excluded.

	'''Schoener's index''' increases from 0 with decreasing spatio-temporal dependence between Locations (= mean squared distances between Locations / mean squared distance from each Location to the ~~arithmetic~~ activity centre).		'''Schoener's index''' increases from 0 with decreasing spatio-temporal dependence between Locations (= mean squared distances between Locations / mean squared distance from each Location to the Arithmetic Mean activity centre).

	'''Shape files''' are the standard ~~polygon~~ format in an ESRI GIS.		'''Shape files''' are the standard Polygon format in an ESRI GIS.

	'''Skew''' in the Location density distribution is estimated during ~~harmonic mean & kernel~~ contouring ( the Euclidean distance between the ~~arithmetic mean~~ centre and the ~~location~~ with the peak density value, divided by the standard deviation of the density value across all the ~~locations~~).		'''Skew''' in the Location density distribution is estimated during Harmonic Mean and Kernel contouring (the Euclidean distance between the Arithmetic Mean centre and the Location with the peak density value, divided by the standard deviation of the density value across all the Locations).

	'''Simpson's index''' increases from 1 with increasing diversity between ~~polygons~~ in Cluster analysis.		'''Simpson's index''' increases from 1 with increasing diversity between Polygons in Cluster analysis.

	'''Smoothing factor''' modulates the density function in Kernel analyses to improve fit of Contours.		'''Smoothing factor''' modulates the density function in Kernel analyses to improve fit of Contours.

	'''Spread''' of a ~~range~~ is the grand mean of distances between all the ~~locations~~.		'''Span''' of a Range is the maximum diagonal dimension of a Convex Hull enclosing all the Locations.

			'''Spread''' of a Range is the grand mean of distances between all the Locations.

	'''Start date''' in a Kaplan Meier Survival analysis is the date from which survival should be estimated; by default the first date for any animal, it may be set later to ensure an adequate sample in the first interval or to analyses a particular season; see also End date.		'''Start date''' in a Kaplan Meier Survival analysis is the date from which survival should be estimated; by default the first date for any animal, it may be set later to ensure an adequate sample in the first interval or to analyses a particular season; see also End date.
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	'''Tracking resolution''' is the smallest distance that can be recorded between adjacent Locations.		'''Tracking resolution''' is the smallest distance that can be recorded between adjacent Locations.

	'''Usual area''' is the single ~~polygon~~ that encloses all the separate ~~cluster polygons~~ on a Range Core.		'''Usual area''' is the single Polygon that encloses all the separate Cluster Polygons on a Range Core.

	'''Utilisation plots''' are of ~~range~~ area against percentages of Location inclusion or ~~location~~ density.		'''Utilisation plots''' are of Range area against percentages of Location-inclusion or Location-density.

	'''UTM''' stands for Universal Transverse Mercator is a two-dimensional Cartesian coordinate system to give locations on the surface of the Earth.		'''UTM''' stands for Universal Transverse Mercator and is a two-dimensional Cartesian coordinate system to give locations on the surface of the Earth.

	'''Vector maps''' are composed of lines and closed shapes defined by a sequence of x,y coordinates.		'''Vector maps''' are composed of lines and closed shapes defined by a sequence of x,y coordinates.

	~~'''Width of a range''' is the maximum diagonal dimension of a Convex Hull enclosing all the locations.~~

← Older revision		Revision as of 17:44, 10 November 2014
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	'''Accuracy ellipses''' are generated round locations from bearing data by some packages (eg LOCATE II).		'''Accuracy ellipses''' are generated round locations from bearing data by some packages (e.g. LOCATE II).

	'''Arithmetic mean''' is the mean x and y coordinates for a set of ~~locations~~.		'''Arithmetic mean''' is the mean x and y coordinates for a set of Locations.

	'''Autocorrelation analysis''' estimates the degree of spatio-temporal dependence of ~~locations~~.		'''Autocorrelation analysis''' estimates the degree of spatio-temporal dependence of Locations.

	'''ASCII''' is American Standard Code, used to turn bytes into text characters.		'''ASCII''' is American Standard Code, used to turn bytes into text characters.

	'''Bivariate ellipses''' are based on ~~location~~ distributions along a major and a minor axis.		'''Bivariate ellipses''' are based on Location distributions along a major and a minor axis.

	'''Boundary strips''' round ~~locations~~ in ~~polygons~~ have a width of half the tracking resolution.		'''Boundary strips''' round Locations in hulls have a width of half the tracking resolution.

	'''Byte arrays''' are Ranges storage format for raster maps; each byte codes for 1 raster.		'''Byte arrays''' are Ranges storage format for raster maps; each byte codes for 1 raster.

	'''Centroid distance''' is from ~~a location~~ to all the ~~locations~~ in a cluster.		'''Centroid distance''' is from an Arithmetic mean to all the Locations in a cluster.

	'''Cluster analysis''' joins locations in groups based on the distances between them.		'''Cluster analysis''' joins locations in groups based on the Nearest neighbour distances between them.

	'''Core''' denotes one or more high areas of high ~~location~~ density in a range.		'''Core''' denotes one or more high areas of high Location density in a range.

			'''Contour analysis''' plots Isolines across a Density matrix to represent either on a probabilistic or Location-inclusive Utilisation distribution.

	'''CSV files''' are composed of Comma Separated Values (other separators are Break/Space and Tab).		'''CSV files''' are composed of Comma Separated Values (other separators are Break/Space and Tab).

	'''Density matrix''' values are estimated at intersections of an arbitrary grid ~~for contouring~~.		'''Density matrix''' values are estimated at intersections of an arbitrary grid in Contour analyses.

	'''Dispersal detection''' provides an objective estimate of when animals leave an area.		'''Dispersal detection''' provides an objective estimate of when animals leave an area.
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	'''Focal site''' denotes an attraction point in a range, such as a den or nest.		'''Focal site''' denotes an attraction point in a range, such as a den or nest.

			'''ESRI''' is the Environmental Systems Research Institute, which supplies GIS software.

	'''Grid cells''' are as wide as the location resolution.		'''Grid cells''' are as wide as the location resolution.

			'''GIS''' is a Geographic Information System.

	'''Grid edges''' are the eastmost, westmost, northmost and southmost coordinates in sets of locations.		'''Grid edges''' are the eastmost, westmost, northmost and southmost coordinates in sets of locations.

	'''Gridascii''' files are used by ~~ArcView~~ for transferring raster map data.		'''Gridascii''' files are of ASCII values used by ESRI soft for transferring raster map data.

	'''Habitat points''' are x,y coordinates associated with habitat codes for different trees, etc.		'''Habitat points''' are x,y coordinates associated with habitat codes for different trees, etc.
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	'''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N )		'''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N )

	'''Hull''' ~~TODO~~		'''Hull''' is a polygon with vertices fitted to a set of locations

	'''Incremental analysis''' estimates the change in range area as successive locations are added.		'''Incremental analysis''' estimates and plots the change in range area as successive locations are added.

	'''Isolines of equal location density''' are created during contour analysis and converted to polygons.		'''Isolines of equal location density''' are created during contour analysis and converted to polygons.
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	'''Kernel analyses''' are based on estimating location density as functions of distance.		'''Kernel analyses''' are based on estimating location density as functions of distance.

	'''Kurtosis''' ~~indicates~~ spread in the density distribution during harmonic mean & kernel contouring.		'''Kurtosis''' is an index of spread in the density distribution during harmonic mean & kernel contouring.

	'''Location''' denotes x,y coordinates of ~~a location~~, often with associated qualifying variables.		'''Location''' denotes x,y coordinates of an observation, often with associated qualifying variables.

	'''Location centring''' is computed during harmonic mean contouring to remove location resolution effects.		'''Location centring''' is computed during harmonic mean contouring to remove location resolution effects.
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	'''Location Qualifying Variables''' (LQVs) are time, activity, habitat, values associated with x,y coordinates.		'''Location Qualifying Variables''' (LQVs) are time, activity, habitat, values associated with x,y coordinates.

	'''Nearest neighbour ~~locations~~''' are ~~those closest to a single site or location in a cluster~~.		'''Nearest neighbour distances''' are the minimum distance between spatially separate locations.

	'''Neighbour Linkage''' ~~TODO~~		'''Neighbour Linkage Analyses''' estimate Hulls round locations whose individual or summed Nearest neighbour distances do not exceed a certain value.

	'''Objective Cores''' TODO		'''Objective Cores''' TODO
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	'''Schoener's index''' increases from 0 with decreasing spatio-temporal dependence between locations (= mean squared distances between locations / mean squared distance from each location to the arithmetic activity centre).		'''Schoener's index''' increases from 0 with decreasing spatio-temporal dependence between locations (= mean squared distances between locations / mean squared distance from each location to the arithmetic activity centre).

			'''Shape files''' are the standard polygon format in an ESRI GIS.

	'''Skew''' in the location density distribution is estimated during harmonic mean & kernel contouring ( the Euclidean distance between the arithmetic mean centre and the location with the peak density value, divided by the standard deviation of the density value across all the locations).		'''Skew''' in the location density distribution is estimated during harmonic mean & kernel contouring ( the Euclidean distance between the arithmetic mean centre and the location with the peak density value, divided by the standard deviation of the density value across all the locations).
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	'''Tracking resolution''' is the smallest distance that can be recorded between adjacent locations.		'''Tracking resolution''' is the smallest distance that can be recorded between adjacent locations.

	'''Utilisation plots''' are of range area against ~~increase in~~ location density ~~until all are included~~.		'''Utilisation plots''' are of range area against percentages of Location inclusion or location density.

	'''UTM''' stands for Universal Transverse Mercator is a two-dimensional Cartesian coordinate system to give locations on the surface of the Earth.		'''UTM''' stands for Universal Transverse Mercator is a two-dimensional Cartesian coordinate system to give locations on the surface of the Earth.