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.DS_Store | ||
*.aux | ||
*.bbl | ||
*.blg | ||
*.log | ||
*.fdb_latexmk | ||
*.gz | ||
~$* | ||
*.m~ | ||
*generated* | ||
*/_build/* | ||
build/* | ||
dist/* | ||
demo/* | ||
_private/* | ||
*.swp | ||
*.swo | ||
*.pyc | ||
tags | ||
.#* | ||
projects/sample_script/*results.txt | ||
code/convert_mat_to_xy.pyc | ||
logfile.txt | ||
projects/compare_sad/*0.png | ||
projects/compare_sad/*0.csv | ||
projects/compare_sad/*0.txt | ||
projects/compare_sar/*.png | ||
projects/compare_sar/*.csv | ||
projects/sample_script/*0.png | ||
projects/sample_script/*0.csv | ||
projects/sample_script/*0.txt | ||
*.DS_Store | ||
*egg-info* | ||
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Copyright (c) 2013, The Regents of the University of California | ||
Copyright (c) 2012-2014, The Regents of the University of California | ||
All rights reserved. | ||
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Redistribution and use in source and binary forms, with or without | ||
Redistribution and use in source and binary forms, with or without | ||
modification, are permitted provided that the following conditions are met: | ||
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- Redistributions of source code must retain the above copyright notice, this | ||
list of conditions and the following disclaimer. | ||
- Redistributions in binary form must reproduce the above copyright notice, | ||
this list of conditions and the following disclaimer in the documentation | ||
and/or other materials provided with the distribution. | ||
- Redistributions of source code must retain the above copyright notice, | ||
this list of conditions and the following disclaimer. | ||
- Redistributions in binary form must reproduce the above copyright notice, | ||
this list of conditions and the following disclaimer in the documentation | ||
and/or other materials provided with the distribution. | ||
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THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND | ||
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED | ||
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | ||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE | ||
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | ||
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | ||
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, | ||
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" | ||
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | ||
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE | ||
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE | ||
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | ||
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR | ||
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER | ||
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, | ||
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE | ||
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
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Macroeco: Ecological pattern analysis in Python | ||
----------------------------------------------- | ||
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Macroeco is a Python package that provides a comprehensive set of functions for analyzing empirical patterns in ecological data, predicting patterns from theory, and comparing empirical results to theory. Many major macroecological patterns can be analyzed using this package, including the species abundance distribution, the species and endemics area relationships, several measures of beta diversity, and many others. | ||
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Extensive documentation for macroeco, including detailed installation instructions, tutorials, and a reference guide, is available at http://macroeco.org. The most recent stable version of the macroeco package can be installed from PyPI (``pip install macroeco``). For users who do not program in Python, a standalone application called Macroeco Desktop, which provides most of the functionality of macroeco through a simple interface that requires no programming, is also available. | ||
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The current version of macroeco is developed and maintained by Justin Kitzes (UC Berkeley) and Mark Wilber (UC Santa Barbara). Other contributors include Chloe Lewis and Ethan White. The development of macroeco has been supported by the National Science Foundation, the Gordon and Betty Moore Foundation, and the Berkeley Institute for Data Science. |
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