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North Dakota GIS Hub Web Services Report
Last Updated November 28, 2009 02:02 PM
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| Monthly SummaryTop |
| The Monthly Summary summarizes the important data for the month. |
| Map Services |
WeedMap |
| Number of Image Requests |
103 |
| Number of Layers |
20 |
| Most Popular Layer (Image) |
Counties, State and Federal Roads (93 images)
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| Least Popular Layer (Image) |
12 Layers Found. (90 images)
| PLSS Sections, Statewide 2003 Color 1meter Photos, Statewide 2004 Color 2meter Photos, Inventory2003, Inventory2004, Inventory2005, Inventory2006, Inventory2008, Inventory2007, Inventory2002, Rivers and Streams, PLSS Townships, City and Corporate Boundaries |
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| Average Request Time |
1935 ms |
| Fastest Layer |
Counties, Cities, Towns and Cities (15 ms)
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| Slowest Layer |
Statewide 2005 Color 1meter Photos (2034 ms)
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| Number of Errors: |
0 |
| Number of Warnings: |
0 |
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| Requests Per DayTop |
| The Requests Per Day module shows the number of requests in the month, broken down for each day. |
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Requests
| Map Service | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | Subtotal |
| WeedMap | | 2 | 18 | 4 | 9 | | 1 | 52 | | | | | | 1 | | | 87 |
| Total | 0 | 2 | 18 | 4 | 9 | 0 | 1 | 52 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 87 |
| | | Map Service | 17 | 18 | 19 | 20 | 21 | 22 | 23 | 24 | 25 | 26 | 27 | 28 | 29 | 30 | | | Subtotal | Total |
| WeedMap | | | | | 1 | | 2 | 2 | 4 | | 7 | | | | | | 16 | 103 |
| Total | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 4 | 0 | 7 | 0 | 0 | 0 | | | 16 | 103 |
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| Layer SummaryTop |
| The Layer Summary module shows detailed information for each layer, grouped by map service. |
Map Service: WeedMap
Popularity Rank
Layer Name |
Layer Hit Count |
Total Search Time |
Average Search Time |
Total Retrieval Time |
Average Retrieval Time |
Total Time |
Average Time |
| 1 |
State and Federal Roads |
95 |
3.186 |
0.033 |
17.503 |
0.184 |
20.689 |
0.217 |
| 2 |
Counties |
77 |
2.522 |
0.032 |
7.589 |
0.098 |
10.111 |
0.131 |
| 3 |
Lakes,Ponds,Rivers |
68 |
2.594 |
0.038 |
6.203 |
0.091 |
8.797 |
0.129 |
| 4 |
Towns and Cities |
65 |
0.844 |
0.012 |
0.157 |
0.002 |
1.001 |
0.015 |
| 5 |
County and City Roads |
62 |
2.921 |
0.047 |
12.950 |
0.208 |
15.872 |
0.256 |
| 6 |
Inventory2008 |
49 |
9.795 |
0.199 |
74.859 |
1.527 |
84.654 |
1.727 |
| 7 |
Cities |
31 |
0.531 |
0.017 |
0.095 |
0.003 |
0.626 |
0.020 |
| 8 |
Statewide 2005 Color 1meter Photos |
31 |
0.000 |
0.000 |
63.082 |
2.034 |
63.082 |
2.034 |
| 9 |
Inventory2007 |
4 |
1.281 |
0.320 |
1.266 |
0.316 |
2.547 |
0.636 |
| 10 |
Inventory2005 |
1 |
0.077 |
0.077 |
0.000 |
0.000 |
0.077 |
0.077 |
Note:
Layers shown (in highlighted text) are Dynamic layers not present in the AXL configuration file / MXD file.
Rows shown like this indicate layers that are visible by default in the mapservice. |
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| Average Requests Per HourTop |
| Average Requests Per Hour shows the number of requests made to the map services average by the number of days for which there is data. |
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| Hour | 00 | 01 | 02 | 03 | 04 | 05 | 06 | 07 | 08 | 09 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | 23 |
| Requests | |
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0 |
0 |
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0 |
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0 |
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0 |
0 |
1 |
4 |
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0 |
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0 |
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| Layer Processing TimeTop |
| The Layer Processing Time module breaks down the total cumulative processing time in seconds for the 15 most expensive layers. |
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| | Name | Search Time | Retrieval Time | | 1 | Statewide 2005 Color 1meter Photos | 0.000 | 2.781 | | 2 | Inventory2007 | 0.515 | 1.094 | | 3 | County and City Roads | 0.077 | 0.750 | | 4 | State and Federal Roads | 0.032 | 0.562 | | 5 | Inventory2008 | 0.358 | 0.047 | | 6 | Lakes,Ponds,Rivers | 0.047 | 0.219 | | 7 | Counties | 0.030 | 0.155 | | 8 | Inventory2005 | 0.077 | 0.000 | | 9 | Towns and Cities | 0.030 | 0.000 | | 10 | Cities | 0.000 | 0.000 | |
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| ProcessingTimeTop |
| The ProcessingTime module breaks down the total processing time in seconds for this report. |
| Total | Average | | AXL Parse | 0.204 | 0.002 |
| Renderer Setup | 0.093 | 0.001 |
| Processing | 208.239 | 2.022 |
| Output | 18.519 | 0.180 |
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| These reports are powered by licensed Geocortex® Statistics technology |
