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US Dept of Commerce National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC): Climate Normals.These data include quality controlled daily, monthly, seasonal, and yearly measurements of temperature, precipitation, wind, and degree days as well as radar data and 30–year Climate Normals.
Gnu octave ocr archive#
US Dept of Commerce National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC): Climate Data Online (CDO) provides free access to NCDC's archive of global historical weather and climate data in addition to station history information. US Department of Commerce National Oceanic and Atmospheric Administration (NOAA) Earth System Research Laboratory Physical Sciences Division (PSD) Climate and Weather Data. US Department of Commerce National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Information (NCEI) is responsible for preserving, monitoring, assessing, and providing public access to the Nation's treasure of climate and historical weather data and information. US Dept of Commerce National Oceanic and Atmospheric Administration (NOAA) National Climatic Data Center (NCDC). To study land change, EROS researchers utilize a vast database of images of the Earth's surface, including those acquired by Landsat satellites. The Earth Resources Observation and Science (EROS) Center's mission is to document and analyze changes to the Earth's land areas, across our nation and around the world. Gnu octave ocr software#
USGS Water Resources Statistics Software. US Army Corps of Engineers Hydrologic Engineering Center: Statistical Methods in Hydrology. Quantitative Hydrology: WASR 4500/6500: Chapter 4: Statistical Hydrology. USGS Techniques of Water–Resources Investigations Book 4, Chapter A3: Statistical Methods in Water Resources by D. 
US Geological Survey (USGS) Water Resources: National Research Program (NRP) Statistical Analysis of Errors in Hydrologic Models. International Commission on Statistical Hydrology (ICSH). Rowe, 1985, Journal of Geophysical Research, vol. Statistics for the Evaluation and Comparison of Models by Cort J. Robeson, Kenji Matsuura, 2012, International Journal of Climatology, vol. A refined index of model performance by Cort J. Robeson, 2009, Atmospheric Environment, vol. Ambiguities inherent in sums–of–squares–based error statistics by Cort J. Willmott, Kenji Matsuura, 2005, Climate Research, Vol. Advantages of the mean absolute error (MAE) over the root mean square error (RMSE) in assessing average model performance by Cort J. Matsuura, January 2006, International Journal of Geographical Information Science, Vol. On the use of dimensioned measures of error to evaluate the performance of spatial interpolators by C. ClockBackward Essays: Ordinary Least Squares Linear Regression: Flaws, Problems and Pitfalls: An analysis of the defects of least squares regression Posted on Jby ClockBackward. Gnu octave ocr how to#
Lecture notes on forecasting: What's the bottom line? How to compare models Robert Nau, Fuqua School of Business, Duke University.STATS4STEM.ORG: Resources for AP Statistics, Intro to Statistics, and R.Akritas, Penn State University, Spring 2008. Statistics 401: An Introduction to Statistics for Engineers and Scientists by Michael G.Massachusetts Institute of Technology (MIT) OpenCourseWare: Mathematics: Introduction to Probability and Statistics.Statistics: Coastal Inlets Research Program (CIRP) Wiki.
The National Institute of Standards and Technology (NIST)/SEMATECH e–Handbook of Statistical Methods. Statistics: From Wikibooks, open books for an open world. Statistical Engineering: Charles Annis, P.E. David's Statistics: Statistics for Geologists, Environmental Scientists, and other Non–Statisticians. STEM (Science, Technology, Engineering, and Mathematics) and R. Regular Expressions (Advanced Find/Replace). Creating Documents, Presentations, and Reports with R and friends. Data Visualization (Plotting/Graphing) with R. R and GNU/Linux / *NIX Command Line Tools (R can process system commands too). Connecting R to and from other Programming Languages & Applications. R for Users of other Applications & Programming Languages (GNU Octave/MATLAB®, Python, Databases, Spreadsheet Applications, etc.). R for Users of other Statistical Software. R GUIs (Graphical User Interface) - Using R with a GUI. Table of Contents for the R Resources page
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