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Messages - Chandan Banerjee

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Dear all

FYI

The India-UK Water Centre is inviting applications from Indian and UK water scientists to participate in a workshop on Advancing Drought Monitoring, Prediction, and Management Capabilities to be held in Lancaster, UK 18th – 20th September 2018.

Last date for application: 17 May 2018

For more details;
http://www.iukwc.org/call-participants-iukwc-workshop-advancing-drought-monitoring-prediction-and-management-capabilities
The following users thanked this post: Chandan Banerjee

2
Regression techniques are one of the most popular statistical techniques used for predictive modeling and data mining tasks. On average, analytics professionals know only 2-3 types of regression which are commonly used in real world. They are linear and logistic regression. But the fact is there are more than 10 types of regression algorithms designed for various types of analysis. Each type has its own significance. Every analyst must know which form of regression to use depending on type of data and distribution.


Please find the link: https://www.listendata.com/2018/03/regression-analysis.html
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3
We present TerraClimate, a dataset of high-spatial resolution (1/24°, ~4-km) monthly climate and climatic water balance for global terrestrial surfaces from 1958–2015. TerraClimate uses climatically aided interpolation, combining high-spatial resolution climatological normals from the WorldClim dataset, with coarser resolution time varying (i.e., monthly) data from other sources to produce a monthly dataset of precipitation, maximum and minimum temperature, wind speed, vapor pressure, and solar radiation. TerraClimate additionally produces monthly surface water balance datasets using a water balance model that incorporates reference evapotranspiration, precipitation, temperature, and interpolated plant extractable soil water capacity. These data provide important inputs for ecological and hydrological studies at global scales that require high spatial resolution and time varying climate and climatic water balance data. We validated spatiotemporal aspects of TerraClimate using annual temperature, precipitation, and calculated reference evapotranspiration from station data, as well as annual runoff from streamflow gauges. TerraClimate datasets showed noted improvement in overall mean absolute error and increased spatial realism relative to coarser resolution gridded datasets.


Link to paper: https://www.nature.com/articles/sdata2017191
Link to data: http://doi.org/10.7923/G43J3B0R
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4
FYI

See comment on PNAS paper by Tata Institute of Social Sciences
Spurious linkages between extreme temperatures and farmer suicides

https://newsclick.in/misunderstanding-data-poor-analysis-and-wrong-conclusions

A recent paper, published by the PNAS (Proceedings of the National Academy of
Sciences of the United States) and authored by Tamma A. Carleton, titled “Climate
Change and Agricultural Suicides in India” claims that “temperature during India’s
main agricultural growing season has a strong positive effect on annual suicide rates.”
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5
Are you serving as a referee for journals? Want to add this into your CV? Now, you have Publons! Scientists rarely get credit for one of their most important jobs — the unpaid task of peer reviewing papers. The startup Publons was created to change that by encouraging researchers to post their peer-review history online.
https://publons.com/home/
https://www.nature.com/news/the-scientists-who-get-credit-for-peer-review-1.16102
The following users thanked this post: Chandan Banerjee

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