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calc_kernel_map [2011/07/25 15:59]
hermann created 		calc_kernel_map [2015/10/12 00:47] (current)
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 ===== Description ===== ===== Description =====
  
-This functor calculates kernel density of an event map representing a point pattern.+This functor calculates ​[[wp>​Multivariate_kernel_density_estimation|kernel density]] of an event map representing a point pattern.
  
 ===== Inputs ===== ===== Inputs =====
  
-^ Name      ^ Type                      ^ Description ​                                                                                                                                                                                            ​^ +^ Name  ^ Type  ^ Description ​ ^ 
-| Events ​   | [[Map Type|Map  ​]]        | Map showing the events location. Events are represented by non null cells, indicating the number of occurrences on the cell. Cell values must be positive integer; otherwise an error will be reported. | +| Events ​ | [[Map Type]] ​ | Map showing the events location. Events are represented by non null cells, indicating the number of occurrences on the cell. Cell values must be positive integer; otherwise an error will be reported. | 
-| Bandwidth | [[Double ​Type|Double  ​]]  | The bandwidth is the radius (in meters) of a disc centered on each cell within which events will contribute to the Kernel estimate. ​                                                                    ​|+| Bandwidth | [[Real Value Type]] ​ | The bandwidth is the radius (in meters) of a disc centered on each cell within which events will contribute to the Kernel estimate. ​ |
  
 ===== Optional Inputs ===== ===== Optional Inputs =====
  
-^ Name       ​^ Type                ^ Description ​                                                                                                                                                            ​^ Default Value ^ +^ Name  ^ Type  ^ Description ​ ^ Default Value  ^ 
-| Mask       ​| [[Map Type|Map  ​]]  | A map used to mask the distance calculation on its null cell areas. Data cell type of this map must be &​quot;​Signed 32 Bit Integer&​quot;​ or an error will be reported. ​ | None          | +| Mask  | [[Map Type]] ​ | A map used to mask the distance calculation on its null cell areas. Data cell type of this map must be &​quot;​Signed 32 Bit Integer&​quot;​ or an error will be reported. ​ | None  | 
-| Null Value | [[Int Type|Int  ​]]  | The bandwidth is the radius (in meters) of a disc centered on each cell within which events will contribute to the Kernel estimate. ​                                    ​| -9999         ​|+| Null Value | [[Integer Value Type]] ​ | The bandwidth is the radius (in meters) of a disc centered on each cell within which events will contribute to the Kernel estimate. ​ | -9999  |
  
 ===== Output ===== ===== Output =====
  
-^ Name                   ​^ Type                ^ Description ​                                                   ^ +^ Name  ^ Type  ^ Description ​ ^ 
-| Kernel Density Map     ​| [[Map Type|Map  ​]]  | Output map showing the kernel density estimate for each cell.  |+| Kernel Density Map  | [[Map Type]] ​ | Output map showing the kernel density estimate for each cell.  |
  
 ===== Group ===== ===== Group =====
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 The technical aspects of the algorithm that calculates kernel density was extracted from Bailey & Gatrell (1995) and uses the quartic Kernel function. ​ The technical aspects of the algorithm that calculates kernel density was extracted from Bailey & Gatrell (1995) and uses the quartic Kernel function. ​
  
-==== Notes ====+==== Referências ​====
  
 Bailey, T. and Gatrell, A., 1995: Interactive Spatial Data Analysis. Longman, Harlow. Bailey, T. and Gatrell, A., 1995: Interactive Spatial Data Analysis. Longman, Harlow.