1. Mapping Estimation with BMEGUI
Prahlad Jat(1) and Marc Serre(1)
(1) University of North Carolina at Chapel Hill

2. Agenda Introduction Analysis Using Soft Data BME Estimation
Interaction with ArcGIS

3. Introduction

4. Temporal GIS analysis process
Read Data File
Data Field Screen
Check Data Distribution
Data Distribution Screen
Exploratory Data Analysis Screen
Exploratory Data Analysis
Mean Trend Analysis Screen
Mean Trend Analysis
Space/Time Covariance Analysis Screen
Covariance Analysis
BME Analysis
BME Estimation Screen

5. BME Estimation Screen Time series of BME mean estimation
Map of BME mean estimation
Map of BME error variance

6. Analysis Using Soft Data

7. Data File with Soft Data
Use five data columns
Data Type
Value Value2
Value Value4
Data Type field
Specify data types (Hard/Uniform/Gaussian/ Triangular /Truncated Gaussian)
Value1, Value2, Value3, and Value4 fields
Soft data parameters

8. Data Types Hard Data Soft Data (Uniform) Soft Data (Gaussian)
Value1&2 Fields: Data Value
Soft Data (Uniform)
Data Type: 1
Value1 Field: Lower Bound
Value2 Field: Upper Bound
Value3 & 4 Field: Dummy
Soft Data (Gaussian)
Data Type: 2
Value1 Field: Mean
Value2 Field: Standard Deviation
Value3 & 4 Fields: Dummy

9. Data Types Soft Data (Triangular) Soft Data (Trunc. Gaussian)
Value1 Field: Lower Bound
Value2 Field: Upper Bound
Value3 Field: Mode
Value4 Field: Dummy
Soft Data (Trunc. Gaussian)
Data Type: 4
Value1 Field: Mean
Value2 Field: Standard Deviation
Value3 Field: Lower Trunc.Value
Value4 Field: Upper Trunc. value

10. Data File Example Lower Bound: 24.5 Data Type: 1 (Uniform)
Upper Bound: 51.45
Mean: 18.1
Data Type: 2 (Gaussian)
Standard Dev: 38.01

11. Data File Example

12. Use Data Type To use soft data, check “Use DataType”
Set “Data Type”, “Value1 Field”, and “Value2 Field”

13. Hardened Data Histogram/Basic statistics Soft data is “hardened”
Uniform – Mid-point
Gaussian – Mean value
Std. formulas for others
“Hardened” values are used in
Histogram
Explanatory data analysis
Mean trend estimation
Experimental covariance calculation

14. Exploratory Data Analysis
“Hardened” data is used
“Temporal Evolution” tab
Hard data: Blue circle
Soft data: red triangle
Soft Data
Hard Data

15. BME Estimation

16. BME Estimation Screen Map of BME mean estimation
Map of BME error variance
Time series of BME mean estimation

17. Spatial/Temporal estimation
Spatial/Temporal Distribution Tabs
BME estimation map at specific time
BME estimation time series at specific station
Each tab contains sub-tab displaying the list of plots

18. BME Estimation Parameters
Spatial Estimation (Map)
BME Parameters
Estimation Grid
Display Grid
Temporal Estimation (Time Series)
Estimation Parameters
Display Parameter

19. BME Parameters Five parameters for BME estimation
Maximum Spatial Distance
Maximum Temporal Distance
Space/Time Metric
Max. Number of Data Point
Order
BMEGUI calculates default parameters based on the covariance model

20. Parameters for Spatial Estimation
Estimation Grid
Estimation Time
Number of estimation point (X and Y)
Area of estimation grid
Include Data Points/Voronoi Points
Display Grid
Number of display point (X and Y)

21. Estimation Grid
Data Points
Estimation Grid
Volonoi Points

22. Display Grid
Estimation Points
Display Grid

23. BME Spatial Estimation
Input parameters, then click “Estimate” button
BME parameters
Estimation Grid
Display Grid
“Estimate” button

24. Maps of BME Mean Estimate and BME Error Variance
Two new tabs
Plot ID: xxxx(Mean)
Plot ID: xxxx(Error)
New entry in the list
(Plot ID, EstimationTime)

25. Maps of BME Mean Estimate and BME Error Variance

26. Close Map Tabs Select the tab you want to close
Click “Close Tab” button

27. Redraw Maps
Select the plot from the list
Click “Show” button

28. Remove Maps
Select the plot from the list
Click “Delete” button

29. Parameters for Temporal Estimation
Estimation Parameters
Station ID
Estimation Period
Display Parameter
Scaling Factor

30. BME Temporal Estimation
Input parameters, then click “Estimate” button
BME parameters
Estimation Parameters
Display Parameter
“Estimate” button

31. Time Series of BME Mean Estimate
One new tab
Plot ID: xxxx
New entry in the list
(Plot ID, Station ID)

32. Time Series of BME Mean Estimate
Solid line: BME Mean Estimate
Dotted line: Upper/Lower Bound (67% CI)
Data Points (Hard/Uniform/Gaussian)

33. Scale Factor
Change the scale of Gaussian type soft data to adjust the size on the plot
Scale Factor = 0.1
Scale Factor = 1.0

34. Interaction with ArcGIS

35. Interaction with ArcGIS
Point Layer File
Exploratory Data Analysis (Spatial Distribution)
Mean Trend Analysis (Raw/Smoothed Mean Trend)
BME Mean/Error Estimation (Estimation Grid)
Raster File (ArcASCII)
BME Mean Estimation
BME Error Estimation
All files will be created in “Workspace”

36. Create Point Layer

37. Create Point Layer / Raster
1. Select Plot
2. Plot Button

38. ArcGIS Files Exploratory Analysis (Spatial Distribution) Mean Trend
Vector data file (.csv)
Mean Trend
BME Estimation
Vector data file (.csv): Estimation Point
ArcASCII : BME Mean Raster
ArcASCII : BME Error Variance Raster