Version 2.21 - Revision history

LarsSangstuvall at 11:40, 25 April 2023

2023-04-25T11:40:02Z

Jonare at 11:31, 25 April 2023

2023-04-25T11:31:23Z

LarsSangstuvall: /* Checkerboard Forestry in PlanWise */

2023-04-25T10:35:02Z

Checkerboard Forestry in PlanWise

Jonare at 09:34, 25 April 2023

2023-04-25T09:34:00Z

LarsSangstuvall at 09:25, 25 April 2023

2023-04-25T09:25:44Z

LarsSangstuvall at 09:18, 25 April 2023

2023-04-25T09:18:47Z

Jonare at 06:07, 25 April 2023

2023-04-25T06:07:54Z

Jonare at 06:06, 25 April 2023

2023-04-25T06:06:42Z

LinusNilsson at 16:14, 24 April 2023

2023-04-24T16:14:53Z

LinusNilsson at 13:04, 24 April 2023

2023-04-24T13:04:43Z

@@ Line 17: / Line 17: @@
 File:MonteCarloDiagram.png | | Viewing a report for a Monte Carlo simulation allows the user to see confidence interval, standard deviation and min/max values
 </gallery>
-For further details and instructions on how to use the functionality, consult the [https://www.heurekaslu.se/help/en/index.htm?montecarlosimulation.htm Heureka Help]
+For further details and instructions on how to use the functionality, consult the [https://www.heurekaslu.se/help/en/index.htm?monte_carlo-simulering.htm Heureka Help]
 ===Checkerboard Forestry in PlanWise===

@@ Line 17: / Line 17: @@
 File:MonteCarloDiagram.png | | Viewing a report for a Monte Carlo simulation allows the user to see confidence interval, standard deviation and min/max values
 </gallery>
-For further details and instructions on how to use the functionality, consult the [[https://www.heurekaslu.se/help/en/index.htm?montecarlosimulation.htm. Heureka Help]]
+For further details and instructions on how to use the functionality, consult the [https://www.heurekaslu.se/help/en/index.htm?montecarlosimulation.htm Heureka Help]
 ===Checkerboard Forestry in PlanWise===
@@ Line 26: / Line 26: @@
 At present the white and black colors have no spatial extent, and no edge effects - neither (positive) on the white part nor (negative) on the black part - are considered in the simulation of Checkerboard forestry.
-For further details and instructions, please consult the [[https://www.heurekaslu.se/help/en/index.htm?schackruteskotsel.htm Heureka Help]]
+For further details and instructions, please consult the [https://www.heurekaslu.se/help/en/index.htm?schackruteskotsel.htm Heureka Help]
 ===Adjustment Factors per Species and Period===

@@ Line 26: / Line 26: @@
 At present the white and black colors have no spatial extent, and no edge effects - neither (positive) on the white part nor (negative) on the black part - are considered in the simulation of Checkerboard forestry.
-For further details and instructions, please consult the [[https://www.heurekaslu.se/help/en/index.htm?checkerboard.htm Heureka Help]]
+For further details and instructions, please consult the [[https://www.heurekaslu.se/help/en/index.htm?schackruteskotsel.htm Heureka Help]]
 ===Adjustment Factors per Species and Period===

@@ Line 17: / Line 17: @@
 File:MonteCarloDiagram.png | | Viewing a report for a Monte Carlo simulation allows the user to see confidence interval, standard deviation and min/max values
 </gallery>
-For further details and instructions on how to use the functionality, consult the [https://www.heurekaslu.se/help/en/index.htm?montecarlosimulation.htm. Heureka Help]
+For further details and instructions on how to use the functionality, consult the [[https://www.heurekaslu.se/help/en/index.htm?montecarlosimulation.htm. Heureka Help]]
 ===Checkerboard Forestry in PlanWise===
@@ Line 26: / Line 26: @@
 At present the white and black colors have no spatial extent, and no edge effects - neither (positive) on the white part nor (negative) on the black part - are considered in the simulation of Checkerboard forestry.
-For further details and instructions, please consult the [https://www.heurekaslu.se/help/en/index.htm?checkerboard.htm Heureka Help]
+For further details and instructions, please consult the [[https://www.heurekaslu.se/help/en/index.htm?checkerboard.htm Heureka Help]]
 ===Adjustment Factors per Species and Period===

@@ Line 29: / Line 29: @@
 ===Adjustment Factors per Species and Period===
-The settings Growth Factor and Mortality Factor Established Forest have been moved into a new control table setting called '''Growth and Mortality Adjustment Factors''', in the '''Production Model''' control table. A factor for height growth has also been added.
+The settings Growth Factor and Mortality Factor Established Forest have been moved into a new control table setting called '''Growth and Mortality Adjustment Factors''', in the [[ControlTable_Production_Model | Production Model]] control table. A factor for height growth has also been added.
 Growth and mortality adjustment factors (in established forest) are set per period and species' group. If data entry for a period is missing, closest previous period's value will be used. If data entry for a species is missing the user specified default value is used.
@@ Line 40: / Line 40: @@
 ===Shrub Cover Models===
-Three new result variables have been added: Bilberry-, Heather- and Cowberry-cover. These can be found in the result category '''Non-wood ecosystem services'''.
+Three new result variables have been added: Bilberry-, Heather- and Cowberry-cover. These can be found in the result group [[Non-Wood_Ecosystem_Services_Results | Non-wood ecosystem services]].
-There are two available models for calculating Bilberry- and Cowberry-cover. These can be changed in the control table '''Recreation'''.
+There are two available models for calculating Bilberry- and Cowberry-cover. These can be changed in the control table [[ControlTable_Recreation | Recreation]].
 Please note that the Hedwall models can only be used with a database containing data for inventoried cover for respective species and the carbon:nitrogen-ratio in the humus layer.
 ===Environmental Goal Indicators===
-Four new result variables have been added to the result category '''Structural Diversity''', with conditions to be classified as such as follows:
+Four new result variables useful for assessing the fulfilment of the national environmental goal '''Levande skogar'''  have been added to the result category '''Structural Diversity''', with conditions to be classified as such as follows:
 * '''Deadwood-rich forest''': 20 m3 of dead wood with a diameter of at least 20 cm.
@@ Line 83: / Line 83: @@
 * After treatment proposals were applied, the control category for the first generation was always used even if a final felling was performed
-<feedDate>2023-04-18</feedDate>
+<feedDate>2023-04-25</feedDate>
 <endFeed />

@@ Line 2: / Line 2: @@
 Version 2.21
 {{Languages| Version 2.21}}
-[[newsdate::2023-04-18]]  [[language::en| ]]
+[[Category:Release]]
 </noinclude>
 <startFeed />
@@ Line 30: / Line 31: @@
 The settings Growth Factor and Mortality Factor Established Forest have been moved into a new control table setting called '''Growth and Mortality Adjustment Factors''', in the '''Production Model''' control table. A factor for height growth has also been added.
-The new setting comes with an editor that allow for setting these Factors per period and species. Growth and mortality adjustment factors (in established forest) are set per period and species' group. If data entry for a period is missing, closest previous period's value will be used. If data entry for a species is missing the user specified default value is used.
+Growth and mortality adjustment factors (in established forest) are set per period and species' group. If data entry for a period is missing, closest previous period's value will be used. If data entry for a species is missing the user specified default value is used.
 These factors are only intended for sensitivity analyses and research.

@@ Line 12: / Line 12: @@
 A Monte Carlo simulation is similar to a regular simulation, but the simulation is automatically repeated a user-defined number of times. The results of all simulations are stored in the database, and can be viewed as summary statistics per variable: mean, minimum and maximum value, standard deviation and confidence interval.
-The purpose of the functionality is to test the effects of stochastic elements in the input conditions of a Heureka analysis: the input data and the different models that together are used to forecast forest development over time. There is currently no support for stochastic input data (e.g. forest data or timber prices). However, several models used in projecting forest development and assigning treatments can be run in stochastic mode: Mortality and Ingrowth in established forests, Height distribution and Damages in young forests, and the allocation of treatment units to control categories within a forest domain and jumps in priority order in action planning.
+The purpose of the functionality is to test the effects of stochastic elements in the input conditions of a Heureka analysis: the input data and the different models that together are used to forecast forest development over time. Several models used in projecting forest development and assigning treatments can be run in stochastic mode: Mortality and Ingrowth in established forests, Height distribution and Damages in young forests, and the allocation of treatment units to control categories within a forest domain and jumps in priority order in action planning. There is currently no support for stochastic input data (e.g. forest data or timber prices).
 <gallery widths=400px, heights=327px>
 File:MonteCarloDiagram.png | | Viewing a report for a Monte Carlo simulation allows the user to see confidence interval, standard deviation and min/max values

@@ Line 9: / Line 9: @@
 ==New Features==
-===Monte Carlo-simulations in RegWise===
+===Monte Carlo simulations in RegWise===
 A Monte Carlo simulation is similar to a regular simulation, but the simulation is automatically repeated a user-defined number of times. The results of all simulations are stored in the database, and can be viewed as summary statistics per variable: mean, minimum and maximum value, standard deviation and confidence interval.
 The purpose of the functionality is to test the effects of stochastic elements in the input conditions of a Heureka analysis: the input data and the different models that together are used to forecast forest development over time. There is currently no support for stochastic input data (e.g. forest data or timber prices). However, several models used in projecting forest development and assigning treatments can be run in stochastic mode: Mortality and Ingrowth in established forests, Height distribution and Damages in young forests, and the allocation of treatment units to control categories within a forest domain and jumps in priority order in action planning.
+<gallery widths=400px, heights=327px>
 For further details and instructions on how to use the functionality, confer the [[https://www.heurekaslu.se/help/en/index.htm?montecarlosimulation.htm. Heureka Help ]]