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2014 Orange, Organic LCA

#### Stock Budgeting 1 Output Calculator

Introduction
This tool tracks resource stock indicators for output uris. Up to 15 new indicators can be added for each output.

Calculation View Description
200a

Version: 1.9.0

#### Relations

Use In Childs?
Overwrite Childs?

#### Step 3 of 3. Save

Method 1. Do you wish to save step 2's calculations? These calculations are viewed by opening this particular calculator addin.

#### Step 1

• Step 1. Indicators: Enter up to 10 indicators.
• Step 1. Indicator Name and Description: Name and description for each indicator.
• Step 1. Indicator Date: Make sure that the benchmark, targets, actual, indicators have distinct dates.
• Step 1. Distribution Type: The numeric distribution of QT. Refer to the Stock Calculation 1 reference.
• Step 1. Math Expression:A mathematical expression containing one or more of the Q1 to Q5 variables and/or sibling indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.Q1 + I1.Q2) * I1.Q3) + I1.Q4)) - (2 * I1.Q5)
• Step 1. Math Operator Type: Mathematical operation to use with QT. MathTypes include: equalto, lessthan, greaterthan, lessthanorequalto, and greaterthanorequalto. Refer to the Stock Calculation 1 reference for the algorithms.
• Step 1. Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, QT, QTD1, and QTD2 to solve for QTM, QTL, and QTU. Refer to the Stock Calculation 1 reference for the algorithms.
• Step 1. QT Amount and Unit: The Unit must be manually entered. The Amount will be the result of the mathematical calculation.
• Step 1. QTD1 Amount and Unit: First distribution, or shape, parameter for QT.
• Step 1. QTD2 Amount and Unit: Second distribution, or scale, for QT.
• Step 1. BaseIO: Base input or output property to update with this indicator's QTM property.
• Step 1. QTM Amount and Unit: Most Likely Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
• Step 1. QTL Amount and Unit: Low Estimate or QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
• Step 1. QTU Amount and Unit: High Estimate for QT. The Unit must be manually entered. The Amount will be the result of the mathematical algorithm.
• Step 1. Math Result: TEXT string holding results of calculation.

#### Step 2

• Step 2. Use Same Calculator Pack In Descendants?: True to insert or update this same calculator in children.
• Step 2. Overwrite Descendants?: True to insert or update all of the attributes of this same calculator in all children. False only updates children attributes that are controlled by the developer of this calculator (i.e. version, stylehsheet name, relatedcalculatorstype ...)
• Step 2. What If Tag Name: Instructional videos explaining the use of what-if scenario calculations should be viewed before changing or using this parameter.
• Step 2. Related Calculators Type: When the Use Same Calculator Pack in Descendant is true, uses this value to determine which descendant calculator to update. Inserts a new descendant when no descendant has this same name. Updates the descendant that has this same name.
• Step 2. Indicators: Enter up to 5 indicators.
• Step 2. Target Type: Used with Progress analyzers to identify benchmark and actual indicators.
• Step 2. Altern Type: Used with Change by Alternative analyzers to identify alternatives to compare.
• Step 2. Score Math Expression: A mathematical expression containing one or more of the children indicator Q1 to QTM variables. Use strings that identify both the indicator (I1, I2, … In) and the Qx property (Q … QTM), with a period separator between them. Examples include:((I1.QTM + I2.QTM) * I3.Q3) + I4.QTM)) - (2 * I5.QTM)
• Step 2. Score Amount and Unit: The Unit must be manually entered. The Amount will be the result of the Math Expression calculation.
• Step 2. ScoreD1 Amount and Unit: First distribution variable for Score.
• Step 2. ScoreD2 Amount and Unit: Second distribution for Score.
• Step 2. Distribution Type: The numeric distribution of Score. Refer to the Stock Calculation 1 reference.
• Step 2. Score Math Type and Math Sub Type: Mathematical algorithm and subalgorithm to use with Distribution Type, Score, ScoreD1, and ScoreD2 to solve for ScoreM, ScoreL, and ScoreU. Refer to the Stock Calculation 1 reference for the algorithms.
• Step 2. Score Most Likely, Score Low, Score High, Amounts and Units: Results of Distribution Type and Math Type calculations.
• Step 2. Iterations: Number of iterations to use when drawing random number samples for some algorithms.
• Step 2. Confidence Interval: Level of confidence interal to use when reporting all Score and Indicator high and low amounts. Should be an integer such as 95, 90, or 40.
• Step 2. Random Seed: Any positive integer, except 0, will result in the same set of random variables being used each time a calculation is run.
• Step 2. Score BaseIO: Base input or output property to update with the Score Most Likely property.

#### References

• Refer to the Stock Calculation 1 reference.

Current view of document
2014 Orange, Organic LCA
Output Group
LCA Organic Crops
Output
2014 Orange, Organic LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
155.0152 environmental performance 155.0000 mean 17.5000 sd 10000 90 5 none
154.6326 mean 154.3456 lower90% ci 154.9196 upper90% ci normal algorithm1 subalgorithm1 1
I1.QTM+I2.QTM/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 1546326.1907, 154.6326, 154.6842, 17.3962, 302.6280, 90.2019, 217.5003, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 90.2019,132.2439,139.9212,145.4144,150.3242,154.6852,159.0753,163.7764,169.2482,177.1526,217.5003
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 none algorithm1 normal none equalto subalgorithm1
27.0000 kg N / ha 18.0000 tons / ha 1.5000 kg N / ton 0.0000 none 0.0000 none
1.5000 kg N / ton 150.0000 17.5000 149.6326 kg N / ton 149.3456 lower90% ci 149.9196 upper90% ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 none algorithm1 triangle none equalto subalgorithm1
4.0000 kg P / ha 18.0000 tons / ha 0.2220 kg P / ton 0.0000 none 0.0000 none
0.2222 kg P / ton 12.0000 32.0000 10.7652 kg P / ton 10.6414 lower90% ci 10.8890 upper90% ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Output Series: 2012 Orange, Organic LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
185.8333 environmental performance 185.0000 mean 19.0000 sd 10000 90 5 none
184.6011 mean 184.2895 lower90% ci 184.9127 upper90% ci normal algorithm1 subalgorithm1 1
I1.QTM+I2.QTM/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 1846011.2927, 184.6011, 184.6572, 18.8873, 356.7305, 114.6478, 252.8575, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 114.6478,160.2934,168.6287,174.5928,179.9234,184.6582,189.4246,194.5287,200.4695,209.0514,252.8575
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 none algorithm1 normal none equalto subalgorithm1
32.5000 kg N / ha 18.0000 tons / ha 1.5000 kg N / ton 0.0000 none 0.0000 none
1.8056 kg N / ton 180.0000 18.5000 179.6116 kg N / ton 179.3082 lower90% ci 179.9150 upper90% ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 none algorithm1 triangle none equalto subalgorithm1
4.5000 kg P / ha 18.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
0.2500 kg P / ton 17.0000 37.0000 12.4433 kg P / ton 12.3002 lower90% ci 12.5864 upper90% ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Output Series: 2013 Orange, Organic LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
175.5202 environmental performance 175.0000 mean 20.0000 sd 10000 90 5 none
174.5801 mean 174.2521 lower90% ci 174.9081 upper90% ci normal algorithm1 subalgorithm1 1
I1.QTM+I2.QTM/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 1745801.3608, 174.5801, 174.6391, 19.8814, 395.2693, 100.9451, 246.4290, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 100.9451,148.9931,157.7670,164.0451,169.6562,174.6403,179.6575,185.0302,191.2837,200.3172,246.4290
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 none algorithm1 normal none equalto subalgorithm1
30.0000 kg N / ha 18.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
1.6667 kg N / ton 170.0000 17.5000 169.6326 kg N / ton 169.3456 lower90% ci 169.9196 upper90% ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 none algorithm1 triangle none equalto subalgorithm1
4.4000 kg P / ha 18.0000 tons / ha 0.0000 none 0.0000 none 0.0000 none
0.2444 kg P / ton 15.0000 35.0000 11.7753 kg P / ton 11.6400 lower90% ci 11.9106 upper90% ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Output Series: 2014 Orange, Organic LCA
Score Score Unit Score D1 Amount Score D1 Unit Score D2 Amount Score D2 Unit Iterations Confid Int Random Seed Base IO
Score Most Amount Score Most Unit Score Low Amount Score Low Unit Score High Amount Score High Unit Distribution Type Math Type Math Sub Type Observations
155.0152 environmental performance 155.0000 mean 17.5000 sd 10000 90 5 none
154.6326 mean 154.3456 lower90% ci 154.9196 upper90% ci normal algorithm1 subalgorithm1 1
I1.QTM+I2.QTM/2
sampled descriptive statistics N,Total,Mean,Median,StdDev,Var,Min,Max 10000, 1546326.1907, 154.6326, 154.6842, 17.3962, 302.6280, 90.2019, 217.5003, sampled cumulative density function 0.00,0.10,0.20,0.30,0.40,0.50,0.60,0.70,0.80,0.90,1.00 90.2019,132.2439,139.9212,145.4144,150.3242,154.6852,159.0753,163.7764,169.2482,177.1526,217.5003
Name (N) Label Date Rel Label Math Type Dist Type Base IO Math Operator Math Sub Type
Q1 Amount Q1 Unit Q2 Amount Q2 Unit Q3 Amount Q3 Unit Q4 Amount Q4 Unit Q5 Amount Q5 Unit
QT Amount QT Unit QT D1 Amount QT D2 Amount QT Most Amount QT Most Unit QT Low Amount QT Low Unit QT High Amount QT High Unit
Nitrogen N 01/01/2014 none algorithm1 normal none equalto subalgorithm1
27.0000 kg N / ha 18.0000 tons / ha 1.5000 kg N / ton 0.0000 none 0.0000 none
1.5000 kg N / ton 150.0000 17.5000 149.6326 kg N / ton 149.3456 lower90% ci 149.9196 upper90% ci
This indicator measures annual nitrogen per ton of output yield.
I1.Q1/I1.Q2
Phosphorous P 01/01/2014 none algorithm1 triangle none equalto subalgorithm1
4.0000 kg P / ha 18.0000 tons / ha 0.2220 kg P / ton 0.0000 none 0.0000 none
0.2222 kg P / ton 12.0000 32.0000 10.7652 kg P / ton 10.6414 lower90% ci 10.8890 upper90% ci
This indicator measures annual phosphorous per ton of output yield.
I2.Q1/I2.Q2
Dataset: 2014 Orange, Organic LCA IRI This orange crop is grown using organic practices.