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                                         SaTScan v9.6
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Program run on: Mon Nov 05 14:14:43 2018

Purely Spatial analysis
scanning for clusters with high rates
using the Discrete Poisson model.
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SUMMARY OF DATA

Study period.......................: 2000 to 2000
Number of locations................: 281
Population, averaged over time.....: 1057673
Total number of cases..............: 552
Annual cases / 100000..............: 19062.0
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CLUSTERS DETECTED

1.Location IDs included.: 52, 50, 37, 49, 38, 48, 53, 39, 15, 47, 51, 1, 40, 44, 16, 2, 55, 36,
                          14, 43, 13, 45, 3, 35, 17, 11, 12, 46
  Coordinates / radius..: (42.0838,-75.9898) / 0.087
  Population............: 111674
  Number of cases.......: 100
  Expected cases........: 58.28
  Annual cases / 100000.: 32706.1
  Observed / expected...: 1.72
  Relative risk.........: 1.87
  Log likelihood ratio..: 14.083511
  P-value...............: 0.00015

2.Location IDs included.: 89, 88, 87, 84, 90, 86, 92, 85
  Coordinates / radius..: (42.628,-76.1041) / 0.13
  Population............: 34083
  Number of cases.......: 38
  Expected cases........: 17.79
  Annual cases / 100000.: 40721.8
  Observed / expected...: 2.14
  Relative risk.........: 2.22
  Log likelihood ratio..: 9.019716
  P-value...............: 0.016

3.Location IDs included.: 112, 113, 115, 111, 116, 219, 117, 123, 218, 114, 122, 110, 124, 220,
                          118, 133, 121, 125, 216, 120, 134, 217, 126, 139, 215, 132, 141, 140,
                          127, 142, 138, 131, 119
  Coordinates / radius..: (43.0814,-76.1481) / 0.040
  Population............: 78280
  Number of cases.......: 64
  Expected cases........: 40.85
  Annual cases / 100000.: 29861.4
  Observed / expected...: 1.57
  Relative risk.........: 1.64
  Log likelihood ratio..: 6.114140
  P-value...............: 0.248

4.Location IDs included.: 62, 64, 67, 65
  Coordinates / radius..: (42.9637,-76.528) / 0.061
  Population............: 24571
  Number of cases.......: 25
  Expected cases........: 12.82
  Annual cases / 100000.: 37161.9
  Observed / expected...: 1.95
  Relative risk.........: 1.99
  Log likelihood ratio..: 4.651839
  P-value...............: 0.645

5.Location IDs included.: 266, 281, 267, 265
  Coordinates / radius..: (42.4722,-76.4635) / 0.026
  Population............: 9840
  Number of cases.......: 12
  Expected cases........: 5.14
  Annual cases / 100000.: 44541.8
  Observed / expected...: 2.34
  Relative risk.........: 2.37
  Log likelihood ratio..: 3.363518
  P-value...............: 0.965

6.Location IDs included.: 166, 159, 167
  Coordinates / radius..: (43.0152,-76.1629) / 0.012
  Population............: 8839
  Number of cases.......: 11
  Expected cases........: 4.61
  Annual cases / 100000.: 45453.9
  Observed / expected...: 2.38
  Relative risk.........: 2.41
  Log likelihood ratio..: 3.209485
  P-value...............: 0.982
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PARAMETER SETTINGS

Input
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  Case File        : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\satscan_ny_cases.txt
  Population File  : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\satscan_ny_pop.txt
  Time Precision   : Generic
  Start Time       : 2000
  End Time         : 2000
  Coordinates File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\satscan_ny_coords.txt
  Coordinates      : Cartesian

Analysis
--------
  Type of Analysis    : Purely Spatial
  Probability Model   : Discrete Poisson
  Scan for Areas with : High Rates

Output
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  Main Results File       : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.txt
  Cluster File            : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.col.dbf
  Stratified Cluster File : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.sci.dbf
  Location File           : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.gis.dbf
  Risk Estimates File     : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.rr.dbf
  Simulated LLRs File     : C:\Users\joshu\Documents\Dropbox\Code\GitHub\smerc\tests\ny.llr.dbf

Data Checking
-------------
  Temporal Data Check     : Check to ensure that all cases and controls are within the specified temporal study period.
  Geographical Data Check : Check to ensure that all observations (cases, controls and populations) are within the specified geographical area.

Spatial Neighbors
-----------------
  Use Non-Euclidian Neighbors file : No
  Use Meta Locations File          : No
  Multiple Coordinates Type        : Allow only one set of coordinates per location ID.

Spatial Window
--------------
  Maximum Spatial Cluster Size : 50 percent of population at risk
  Maximum Spatial Cluster Size : 50 Cartesian units
  Window Shape                 : Circular
  Isotonic Scan                : No

Cluster Restrictions
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  Minimum Cases in Cluster for High Rates : 2
  Restrict High Rate Clusters             : No

Space And Time Adjustments
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  Adjust for known relative risks : No

Inference
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  P-Value Reporting                  : Default Combination
  Number of Replications             : 999
  Adjusting for More Likely Clusters : No

Border Analysis
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  Report Oliveira's F : No

Spatial Output
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  Report Hierarchical Clusters              : Yes
  Criteria for Reporting Secondary Clusters : No Geographical Overlap
  Report Gini Optimized Cluster Collection  : No
  Restrict Reporting to Smaller Clusters    : No

Other Output
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  Report Critical Values  : No
  Report Monte Carlo Rank : No

Run Options
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  Processor Usage   : All Available Processors
  Suppress Warnings : No
  Logging Analysis  : No

System
------
  Parameters Version : 9.2.0
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Program completed  : Mon Nov 05 14:14:45 2018
Total Running Time : 2 seconds
Processor Usage    : 4 processors