Open Source Python Ecosystem Sciences Software for Linux

Electronics schematics, PCB images, firmware and documentation to create and deploy a network of ecology related sensors.

Physical modelling of water transport in plants

PyPak is a Python library for communication with Campbell Scientific dataloggers through the PakBus interface over TCP/IP or serial lines.

This is an simple ecological model for lakes and reservoirs that contains a very detailed description of the most relevant nitrogen processes. The model is not very complete, but the main intention is to develop a library to be coupled with other models and use the full-mixed model as a testing version. A lot of things can be improved. I will read all the suggestions but I cannot promise that I will include all of them. Every new part of the code will contain the name of the author. If someone contributes improving the capabilities of this model in a substantial way, I will include that person as co-author of the model in the next version release. I hope this will promote people to contribute. Of course, fixing bugs or minor changes will also be mentioned with the corresponding author. Thanks a lot. I hope this can be the seed of a Open Source Community of Ecological Modellers.

GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. There is also a Python API that provides a procedural as well as an object-oriented interface to these functions. A Python GUI for interacting with such datasets is also part of the project. While there are other open-source GIS, and image-processing packages available, this one is designed to be comprehensive, work on 3 major platforms, user-extensible, fast, and able to handle huge datasets. Click the Blog tab for more info.

This is a collection of Python functions, with which data can be exported from the Python environment to a file which can be viewed in GoogleEarth.