Search Results for "python time series analysis"

OpenJUMP is a community driven fork of JUMP the "Java Unified Mapping Platform" GIS software. The original JUMP was developed by Vivid Solutions, released under GPL2 in 2003 and discontinued in 2006. During 2004 already some enthusiastic developers joined together to enhance further the features of JUMP. They launched an independent development branch called OpenJUMP. The name gives credit to the original JUMP development, and at the same time describes the objectives of this project to...

* Please check latest update on https://github.com/igps-ftk/iGPS A tool written in Interactive Data Language (IDL), for processing and analyzing daily continuous GPS position time series. It can read time series in various formats, detect outliers, remove abnormal observation spans, find jumps, extract common-mode components(CMC), etc.

AICtools is a GIS workflow and set of tools to facilitate Automated Imagery Classification (AIC) and analysis of surface features over time. Allows bulk processing of large data sets, including automated metadata processing/filtering, compressed archive extraction and file manipulation, raster band compositing, pre-processing, mosaicking, clipping. Automates a subset of operations involved in classification of satellite imagery and the associated raster calculations used for time trend analysis.

Along with calculating basic statistics and quality parameters such as mean and variance, the soft-ware is capable of importing and visualizing different standard time series formats, determining and removing jumps and outliers, and makes numerical and publication quality graphical outputs. Bivariate statistical analysis (including correlation coefficient and linear regression) and time series analysis (including auto and cross-spectral analysis, wavelet power spectrum, spectrogram and periodicities) form the main analysis features of the software.

HidroSIG is a GIS that supports raster and vectorial maps with modules oriented to the hydrological analysis, time series, remote sensing and more. It has been made 100% in java using VisAD for data visualization and using MySQL to storage all data.

Space Time Analysis of Regional Systems: Combines a suite of geocomputational and dynamic visualization modules for the exploratory analysis of data measured for spatial and temporal units.