Maximum Entropy Presence Prediction

Author(s)	O.Conrad (c) 2015
Library ID	imagery_maxent
Tool ID	1
Version	1.0
Menu	Grid \| Analysis \| Macroecology

Description

References

Yoshimasa Tsuruoka: A simple C++ library for maximum entropy classification.

Dekang Lin: A MaxEnt Package in C++.

Parameters

	Name	Type	Identifier	Description	Constraints
Input	Presence Data	shapes, input	`PRESENCE`	-	-
	Numerical Features	grid list, input, optional	`FEATURES_NUM`	-	-
	Categorical Features	grid list, input, optional	`FEATURES_CAT`	-	-
Output	Presence Prediction	grid, output	`PREDICTION`	-	-
Output	Presence Probability	grid, output	`PROBABILITY`	-	-
Options	Grid System	grid system	`PARAMETERS_GRID_SYSTEM`	-	-
	Background Sample Density [Percent]	floating point number	`BACKGROUND`	-	Minimum: 0.000000 Maximum: 100.000000 Default: 1.000000
	Method	choice	`METHOD`	-	Available Choices: [0] Yoshimasa Tsuruoka [1] Dekang Lin Default: 0
	Load from File...	file path	`YT_FILE_LOAD`	-	-
	Save to File...	file path	`YT_FILE_SAVE`	-	-
	Regularization	choice	`YT_REGUL`	-	Available Choices: [0] none [1] L1 [2] L2 Default: 1
	Regularization Factor	floating point number	`YT_REGUL_VAL`	-	Minimum: 0.000000 Default: 1.000000
	Real-valued Numerical Features	boolean	`YT_NUMASREAL`	-	Default: 1
	Alpha	floating point number	`DL_ALPHA`	-	Default: 0.100000
	Threshold	floating point number	`DL_THRESHOLD`	-	Minimum: 0.000000 Default: 0.000000
	Maximum Iterations	integer number	`DL_ITERATIONS`	-	Minimum: 1 Default: 100
	Number of Numeric Value Classes	integer number	`NUM_CLASSES`	-	Minimum: 1 Default: 32

Command Line


Usage: saga_cmd imagery_maxent 1 [-PRESENCE ] [-FEATURES_NUM ] [-FEATURES_CAT ] [-PREDICTION ] [-PROBABILITY ] [-BACKGROUND ] [-METHOD ] [-YT_FILE_LOAD ] [-YT_FILE_SAVE ] [-YT_REGUL ] [-YT_REGUL_VAL ] [-YT_NUMASREAL ] [-DL_ALPHA ] [-DL_THRESHOLD ] [-DL_ITERATIONS ] [-NUM_CLASSES ]
  -PRESENCE:          Presence Data
	shapes, input
  -FEATURES_NUM:      Numerical Features
	grid list, input, optional
  -FEATURES_CAT:      Categorical Features
	grid list, input, optional
  -PREDICTION:        Presence Prediction
	grid, output
  -PROBABILITY:       Presence Probability
	grid, output
  -BACKGROUND:
                           Background Sample Density [Percent]
                           	floating point number
                           	Minimum: 0.000000
                           	Maximum: 100.000000
                           	Default: 1.000000
  -METHOD:            Method
	choice
	Available Choices:
	[0] Yoshimasa Tsuruoka
	[1] Dekang Lin
	Default: 0
  -YT_FILE_LOAD:      Load from File...
	file path
  -YT_FILE_SAVE:      Save to File...
	file path
  -YT_REGUL:          Regularization
	choice
	Available Choices:
	[0] none
	[1] L1
	[2] L2
	Default: 1
  -YT_REGUL_VAL:   Regularization Factor
	floating point number
	Minimum: 0.000000
	Default: 1.000000
  -YT_NUMASREAL:      Real-valued Numerical Features
	boolean
	Default: 1
  -DL_ALPHA:       Alpha
	floating point number
	Default: 0.100000
  -DL_THRESHOLD:   Threshold
	floating point number
	Minimum: 0.000000
	Default: 0.000000
  -DL_ITERATIONS:     Maximum Iterations
	integer number
	Minimum: 1
	Default: 100
  -NUM_CLASSES:       Number of Numeric Value Classes
	integer number
	Minimum: 1
	Default: 32