pyscan-stats 0.1.1

C++ spatial scan wrapper for Python

pyscan

This is a python wrapper around a large number of anomaly detection algorithms written in c++. These algorithms are from several papers:

• The Kernel Scan Statistic
• Scalable Spatial Scan Statistics for Trajectories
• Computing Approximate Statistical Discrepancy
• Scalable Spatial Scan Statistics through Sampling
• Spatial Scan Statistics: Approximations and Performance Studies
• The Hunting of the Bump: On Maximizing Statistical Discrepancy

If you are interested in using any of these for comparison studies, finding disease outbreaks, collaberations, etc please reach out and email me. I am happy to be of assistance.

To compile this you will need:

• python python 3.x
• cgal
• gsl
• cmake

Instructions

> git submodule update --init
> mkdir build
> cd build
> cmake ..
> make

You should then be able to use this library as a standard python module by doing: import pyscan

For Mac M1 Chip User

In CMakeLists.txt, you need to comment out

set(CMAKE_CXX_FLAGS_RELEASE "-fPIC -w -O2 -march=native -DNDEBUG")
set(CMAKE_C_FLAGS_RELEASE "-fPIC -w -O2 -march=native -DNDEBUG")

and uncomment

set(CMAKE_CXX_FLAGS_RELEASE "-fPIC -w -O2 -mcpu=apple-m1 -DNDEBUG")
set(CMAKE_C_FLAGS_RELEASE "-fPIC -w -O2 -mcpu=apple-m1 -DNDEBUG")

Make sure use this library on arm64 running Python with the same Python version that built the library.

Website

https://michaelmathen.github.io/pyscan/