讨论

How_to_correlate_two_different_types_of_satellite_data_in_Erdas_or_ArcGIS

  Do you want to correlate pixel to pixel everyday? It is better if you could extract time series for selected pixel or location for both satellite products and do the correlation analysis. Some discussions are ++[here](http://gis.stackexchange.com/questions/91988/how-to-do-spatial-correlation-between-two-variables-on-arcgis-10-1)++

技术贴

空间统计笔记之一(基础知识)

earthdatascience

工具

GeoDa GeoDaSpace spvcm CrimeStat

R 语言

Spatial-correlation-between-rasters Statnmap

spatialEco

Satellite Image Time Series Analysis

Python

SPAtial EFficiency (SPAEF) – a new metric for pattern comparison github

Intro to Spatial Data Analysis in Python

PySal

Moran’s I measures of spatial autocorrelation PySAL

How do I compute interactive spatial autocorrelation (Moran I) using PySAL?

Geographic Data Science with PySAL and the pydata stack

Exploratory Spatial Data Analysis – ipynb

Scipy

scipy.spatial.distance.correlation

Reprojection

MRT Modis Reprojection Toolbox. It is a dos/unix based software which can be used in batch mode, which is a great assist while working with so many datasets. In MRT you can extract data in terms of bands (I guess you will need only NDVI and QA, so bands 1 and 12 respectively) as well as, spatial extend (if your area of interest is smaller than a MODIS tile). Data can be exported into several formats so you can go for one that suits you the most. Next, you can import these data to any other software, layerstack them into one-file time series and perform all desired analyses. BfastSpatial package for R which offers MODIS pre-processing functions which can be handy together with the MODIS or MODISTools package in R.

Distance correlation

Distance correlation with p-value

Spatial Correlation