# Difference between revisions of "Glossary"

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'''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 a location to all the locations in a cluster. |

− | + | '''Cluster analysis''' joins locations in groups based on the distances between them. | |

− | + | '''Core''' denotes one or more high areas of high location density in a range. | |

− | + | '''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. | |

− | + | '''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. | |

− | + | '''Edge''' denotes an outline estimated round locations as a polygon or by contouring. | |

− | + | '''Ellipses''' include circles. | |

− | + | '''Ellipse asymmetry''' is the ratio of the standard deviations along the major and minor axes. | |

− | + | '''Focal site''' denotes an attraction point in a range, such as a den or nest. | |

− | + | '''Grid cells''' are as wide as the location resolution. | |

− | + | '''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. | |

− | + | '''Habitat points''' are x,y coordinates associated with habitat codes for different trees, etc. | |

− | + | '''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. | |

− | + | '''hRef''' is the reference smoothing parameter in kernel analyses ( SD / sixth root N ) | |

− | + | '''Incremental analysis''' estimates the change in range area as successive locations are added. | |

− | + | '''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. | |

− | + | '''Kaplan Meier Survival''' TODO | |

− | + | '''Kernel analyses''' are based on estimating location density as functions of distance. | |

− | + | '''Kurtosis''' indicates spread in the density distribution during harmonic mean & kernel contouring. | |

− | + | '''Location''' denotes x,y coordinates of a location, often with associated qualifying variables. | |

− | + | '''Location centring''' is computed during harmonic mean contouring to remove location resolution effects. | |

− | + | '''Location resolution''' is the smallest distance that can be recorded between adjacent locations. | |

− | + | '''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. | |

− | + | '''Neighbour Linkage''' TODO | |

− | + | '''Objective Cores''' TODO | |

− | + | '''OREP''' Objective Restrictive Edge Polygons TODO | |

− | + | '''Outlier locations''' are those beyond the main distribution of locations. | |

− | + | '''Overlap matrices''' are formed as % overlaps of range A on B and B on A. | |

− | + | '''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. | |

− | + | '''RADA''' TODO | |

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

− | + | '''Raster maps''' are composed of equal-size rectangles with different habitat codes. | |

− | + | '''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). | |

− | + | '''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. | |

− | + | '''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. | |

− | + | '''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. | |

− | + | '''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. | |

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## Revision as of 11:37, 6 November 2014

**Accuracy ellipses** are generated round locations from bearing data by some packages (eg LOCATE II).

**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.

**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.

**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.

**Centroid distance** is from a location to all the locations in a cluster.

**Cluster analysis** joins locations in groups based on the distances between them.

**Core** denotes one or more high areas of high location density in a range.

**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.

**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.

**Edge** denotes an outline estimated round locations as a polygon or by contouring.

**Ellipses** include circles.

**Ellipse asymmetry** is the ratio of the standard deviations along the major and minor axes.

**Focal site** denotes an attraction point in a range, such as a den or nest.

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

**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.

**Habitat points** are x,y coordinates associated with habitat codes for different trees, etc.

**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.

**hRef** is the reference smoothing parameter in kernel analyses ( SD / sixth root N )

**Incremental analysis** estimates the change in range area as successive locations are added.

**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.

**Kaplan Meier Survival** TODO

**Kernel analyses** are based on estimating location density as functions of distance.

**Kurtosis** indicates spread in the density distribution during harmonic mean & kernel contouring.

**Location** denotes x,y coordinates of a location, often with associated qualifying variables.

**Location centring** is computed during harmonic mean contouring to remove location resolution effects.

**Location resolution** is the smallest distance that can be recorded between adjacent locations.

**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.

**Neighbour Linkage** TODO

**Objective Cores** TODO

**OREP** Objective Restrictive Edge Polygons TODO

**Outlier locations** are those beyond the main distribution of locations.

**Overlap matrices** are formed as % overlaps of range A on B and B on A.

**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.

**RADA** TODO

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

**Raster maps** are composed of equal-size rectangles with different habitat codes.

**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).

**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.

**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.

**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.

**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.