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MAZAMA SCIENCE
See your data. Mazama Science provides modern, open source approaches to data management, analysis and visualization. We collaborate with clients across disciplines to make large, high-value datasets more usable with intuitive, interactive tools. ENERGY EXPORT DATABROWSER Resource: Coal Oil Gas. Nuclear Hydropower All. Units: bbl ft m twh. mtoe J. Country / Group: World Former Soviet Union Europe (-FSU) Europe (+FSU) Eurozone OPEC-10 OPEC GCC GECF-11 GECF Non-OPEC OECD OECD (-USA) G7 O5 G7 + O5 Caribbean North Sea Persian Gulf West Africa Total North America Canada Mexico USA Total S. & Cent.DATA STRUCTURES
DATA MANAGEMENT QUESTIONNAIRE That is the power of asking questions. Our data management questionnaire poses questions in 12 categories that will help you figure out what you need, what you want, and perhaps give you a hint of how to get there. For those who always watch the credits at the end of movies we have a little more to say along the lines ofphilosophical
STANDARD COUNTRY NAMES BEAKR – A SMALL WEB FRAMEWORK FOR R – BLOG – MAZAMA SCIENCE beakr is an unopinionated and minimalist web framework for developing and deploying web services with R. It is designed to make it as simple as possible for data scientists and engineerings to quickly write web applications, services, and APIs without worrying about GETTING YOUR MAC READY FOR NETCDF If you are working with weather or climate data or big 3-4D model datasets you will undoubtedly encounter netCDF. Unidata’s Network Common Data Format has been the workhorse data format for atmospheric and oceanographic modelers since the early 1990’s. With more and more scientists using Macs to get their work done, it is important to get them ready with the the necessary USING R — WORKING WITH GEOSPATIAL DATA (AND GGPLOT2 Generally speaking, visualizing geospatial data is not the fastest process in the world, but using base vs. ggplot2 can be the difference between 0.5 seconds and 10 seconds. So if you’re producing graphics on-they-fly, stick with base, but if you’re looking to create publication quality graphics, ggplot2 is certainly worth learning. INSTALLING NETCDF AND R ‘NCDF’ If you work with large, gridded datasets you should probably be using NetCDF, the Network Common Data Form from Unidata:. NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. USING R — BASIC ERROR HANDING WITH TRYCATCH() The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, if you do a little searching you will find that quite a few people have read through the ?tryCatch documentation but come away just as confused as when they started.MAZAMA SCIENCE
See your data. Mazama Science provides modern, open source approaches to data management, analysis and visualization. We collaborate with clients across disciplines to make large, high-value datasets more usable with intuitive, interactive tools. ENERGY EXPORT DATABROWSER Resource: Coal Oil Gas. Nuclear Hydropower All. Units: bbl ft m twh. mtoe J. Country / Group: World Former Soviet Union Europe (-FSU) Europe (+FSU) Eurozone OPEC-10 OPEC GCC GECF-11 GECF Non-OPEC OECD OECD (-USA) G7 O5 G7 + O5 Caribbean North Sea Persian Gulf West Africa Total North America Canada Mexico USA Total S. & Cent.DATA STRUCTURES
DATA MANAGEMENT QUESTIONNAIRE That is the power of asking questions. Our data management questionnaire poses questions in 12 categories that will help you figure out what you need, what you want, and perhaps give you a hint of how to get there. For those who always watch the credits at the end of movies we have a little more to say along the lines ofphilosophical
STANDARD COUNTRY NAMES BEAKR – A SMALL WEB FRAMEWORK FOR R – BLOG – MAZAMA SCIENCE beakr is an unopinionated and minimalist web framework for developing and deploying web services with R. It is designed to make it as simple as possible for data scientists and engineerings to quickly write web applications, services, and APIs without worrying about GETTING YOUR MAC READY FOR NETCDF If you are working with weather or climate data or big 3-4D model datasets you will undoubtedly encounter netCDF. Unidata’s Network Common Data Format has been the workhorse data format for atmospheric and oceanographic modelers since the early 1990’s. With more and more scientists using Macs to get their work done, it is important to get them ready with the the necessary USING R — WORKING WITH GEOSPATIAL DATA (AND GGPLOT2 Generally speaking, visualizing geospatial data is not the fastest process in the world, but using base vs. ggplot2 can be the difference between 0.5 seconds and 10 seconds. So if you’re producing graphics on-they-fly, stick with base, but if you’re looking to create publication quality graphics, ggplot2 is certainly worth learning. INSTALLING NETCDF AND R ‘NCDF’ If you work with large, gridded datasets you should probably be using NetCDF, the Network Common Data Form from Unidata:. NetCDF is a set of software libraries and self-describing, machine-independent data formats that support the creation, access, and sharing of array-oriented scientific data. USING R — BASIC ERROR HANDING WITH TRYCATCH() The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, if you do a little searching you will find that quite a few people have read through the ?tryCatch documentation but come away just as confused as when they started.MAZAMA SCIENCE
hard at work. We are committed to helping scientists and diverse stakeholders do more with their data. We take the time to understand client goals, and tailor solutions to specifically address them. For a brief overview of recent work, choose to "Take A Tour" of each project below, and view 5-10 slides focused on features and real-worldMAZAMA SCIENCE
Parlaying an interest in science into a career in science isn’t easy. An internship at Mazama Science is an excellent way to test the waters while developing useful skills. Our office is peaceful, studious, and located in an historic building in the thriving Ballard neighborhood — blocks ENERGY EXPORT DATABROWSER Resource: Coal Oil Gas. Nuclear Hydropower All. Units: bbl ft m twh. mtoe J. Country / Group: World Former Soviet Union Europe (-FSU) Europe (+FSU) Eurozone OPEC-10 OPEC GCC GECF-11 GECF Non-OPEC OECD OECD (-USA) G7 O5 G7 + O5 Caribbean North Sea Persian Gulf West Africa Total North America Canada Mexico USA Total S. & Cent. ENERGY EXPORT DATABROWSER Produced once a year, the Excel workbook contains regional consumption and production data for Oil, Natural Gas, Coal, Nuclear and Hydroelectric energy resources. Data from several worksheets in the Statistical Review are used as input to the Energy Export Databrowser. The data used by the Databrowser are unaltered except for minorcleanup as
ZERO VS. MISSING
Zero vs. Missing. On the left we have zero, our integer measure of nothingness. On the right we have missing value, aka N/A, aka NA, our signal that the value of a datapoint is unknown. Everyone who deals with data has to deal with this important distinction. And far too often people get it wrong. USING R — WORKING WITH GEOSPATIAL DATA R does not support working with spatial data straight out of the box so there are a couple of packages that need to be downloaded to get R working with spatial data. The two packages required are ‘sp’ and ‘rgdal’. We will also use a third package, ‘rgeos’ for some fancy geospatial tricks. Unfortunately, the latest release of the sp USING R — BASIC ERROR HANDING WITH TRYCATCH() The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, if you do a little searching you will find that quite a few people have read through the ?tryCatch documentation but come away just as confused as when they started. DATA PRODUCERS VS. DATA CONSUMERS Data producers vs. data consumers. In the marketplace, the needs of producers and consumers are often at odds: producers want higher prices, consumers lower ones; producers want easy assembly, consumers easy dis-assembly; producers want flexibility and rapid prototyping, consumers reliability and long-term support. USING R — EASIER ERROR HANDLING WITH TRY() In a previous post we looked at error handling in R with the tryCatch() function and how this could be used to write Java style try-catch-finally blocks. This time we WHEN K-MEANS CLUSTERING FAILS Unfortunately, k -means clustering can fail spectacularly as in the example below. Centroid-based clustering algorithms work on multi-dimensional data by partitioning data points into k clusters such that the sum of squares from points to the assigned cluster centers is minimized. In simple terms, clusters contain all of thedata points that
MAZAMA SCIENCE
See your data. Mazama Science provides modern, open source approaches to data management, analysis and visualization. We collaborate with clients across disciplines to make large, high-value datasets more usable with intuitive, interactive tools. ENERGY EXPORT DATABROWSER Resource: Coal Oil Gas. Nuclear Hydropower All. Units: bbl ft m twh. mtoe J. Country / Group: World Former Soviet Union Europe (-FSU) Europe (+FSU) Eurozone OPEC-10 OPEC GCC GECF-11 GECF Non-OPEC OECD OECD (-USA) G7 O5 G7 + O5 Caribbean North Sea Persian Gulf West Africa Total North America Canada Mexico USA Total S. & Cent.DATA STRUCTURES
DATA MANAGEMENT QUESTIONNAIRE That is the power of asking questions. Our data management questionnaire poses questions in 12 categories that will help you figure out what you need, what you want, and perhaps give you a hint of how to get there. For those who always watch the credits at the end of movies we have a little more to say along the lines ofphilosophical
STANDARD COUNTRY NAMES BEAKR – A SMALL WEB FRAMEWORK FOR R – BLOG – MAZAMA SCIENCE beakr is an unopinionated and minimalist web framework for developing and deploying web services with R. It is designed to make it as simple as possible for data scientists and engineerings to quickly write web applications, services, and APIs without worrying about USING R — WORKING WITH GEOSPATIAL DATA (AND GGPLOT2 Generally speaking, visualizing geospatial data is not the fastest process in the world, but using base vs. ggplot2 can be the difference between 0.5 seconds and 10 seconds. So if you’re producing graphics on-they-fly, stick with base, but if you’re looking to create publication quality graphics, ggplot2 is certainly worth learning. GETTING YOUR MAC READY FOR NETCDF If you are working with weather or climate data or big 3-4D model datasets you will undoubtedly encounter netCDF. Unidata’s Network Common Data Format has been the workhorse data format for atmospheric and oceanographic modelers since the early 1990’s. With more and more scientists using Macs to get their work done, it is important to get them ready with the the necessary USING R — EASIER ERROR HANDLING WITH TRY() In a previous post we looked at error handling in R with the tryCatch() function and how this could be used to write Java style try-catch-finally blocks. This time we USING R — BASIC ERROR HANDING WITH TRYCATCH() The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, if you do a little searching you will find that quite a few people have read through the ?tryCatch documentation but come away just as confused as when they started.MAZAMA SCIENCE
See your data. Mazama Science provides modern, open source approaches to data management, analysis and visualization. We collaborate with clients across disciplines to make large, high-value datasets more usable with intuitive, interactive tools. ENERGY EXPORT DATABROWSER Resource: Coal Oil Gas. Nuclear Hydropower All. Units: bbl ft m twh. mtoe J. Country / Group: World Former Soviet Union Europe (-FSU) Europe (+FSU) Eurozone OPEC-10 OPEC GCC GECF-11 GECF Non-OPEC OECD OECD (-USA) G7 O5 G7 + O5 Caribbean North Sea Persian Gulf West Africa Total North America Canada Mexico USA Total S. & Cent.DATA STRUCTURES
DATA MANAGEMENT QUESTIONNAIRE That is the power of asking questions. Our data management questionnaire poses questions in 12 categories that will help you figure out what you need, what you want, and perhaps give you a hint of how to get there. For those who always watch the credits at the end of movies we have a little more to say along the lines ofphilosophical
STANDARD COUNTRY NAMES BEAKR – A SMALL WEB FRAMEWORK FOR R – BLOG – MAZAMA SCIENCE beakr is an unopinionated and minimalist web framework for developing and deploying web services with R. It is designed to make it as simple as possible for data scientists and engineerings to quickly write web applications, services, and APIs without worrying about USING R — WORKING WITH GEOSPATIAL DATA (AND GGPLOT2 Generally speaking, visualizing geospatial data is not the fastest process in the world, but using base vs. ggplot2 can be the difference between 0.5 seconds and 10 seconds. So if you’re producing graphics on-they-fly, stick with base, but if you’re looking to create publication quality graphics, ggplot2 is certainly worth learning. GETTING YOUR MAC READY FOR NETCDF If you are working with weather or climate data or big 3-4D model datasets you will undoubtedly encounter netCDF. Unidata’s Network Common Data Format has been the workhorse data format for atmospheric and oceanographic modelers since the early 1990’s. With more and more scientists using Macs to get their work done, it is important to get them ready with the the necessary USING R — EASIER ERROR HANDLING WITH TRY() In a previous post we looked at error handling in R with the tryCatch() function and how this could be used to write Java style try-catch-finally blocks. This time we USING R — BASIC ERROR HANDING WITH TRYCATCH() The R language definition section on Exception Handling describes a very few basics about exceptions in R but is of little use to anyone trying to write robust code that can recover gracefully in the face of errors. In fact, if you do a little searching you will find that quite a few people have read through the ?tryCatch documentation but come away just as confused as when they started.MAZAMA SCIENCE
hard at work. We are committed to helping scientists and diverse stakeholders do more with their data. We take the time to understand client goals, and tailor solutions to specifically address them. For a brief overview of recent work, choose to "Take A Tour" of each project below, and view 5-10 slides focused on features and real-worldMAZAMA SCIENCE
Mazama Science has decades of experience bringing innovative and appropriate data solutions to publicly-funded agencies, individual researchers and private companies. We ask lots (and lots) of questions to fully understand your research objectives, and then deliver solutions that are intuitive, highly customized, and rigorouslyoperational.
MAZAMA SCIENCE
Parlaying an interest in science into a career in science isn’t easy. An internship at Mazama Science is an excellent way to test the waters while developing useful skills. Our office is peaceful, studious, and located in an historic building in the thriving Ballard neighborhood — blocks BLOG – MAZAMA SCIENCE – WORKING WITH DATA Version 0.7 of the MazamaSpatial Utils is now available on CRAN and includes an expanded suite of spatial datasets with even greater cleanup and harmonization than in previous versions. If your work involves environmental monitoring of any kind, this package may be of use. Here is the description: A suite of conversion functions to create internally standardized spatial polygons dataframes.ZERO VS. MISSING
Zero vs. Missing. On the left we have zero, our integer measure of nothingness. On the right we have missing value, aka N/A, aka NA, our signal that the value of a datapoint is unknown. Everyone who deals with data has to deal with this important distinction. And far too often people get it wrong. USING R — WORKING WITH GEOSPATIAL DATA (AND GGPLOT2 Generally speaking, visualizing geospatial data is not the fastest process in the world, but using base vs. ggplot2 can be the difference between 0.5 seconds and 10 seconds. So if you’re producing graphics on-they-fly, stick with base, but if you’re looking to create publication quality graphics, ggplot2 is certainly worth learning. INSTALLING FFTW3 AND THE ‘FFTW’ R PACKAGE If you have to compile code that uses Fourier Transforms you may wish to use the FFTW library which the authors describe thusly:. Our benchmarks, performed on on a variety of platforms, show that FFTW’s performance is typically superior to that of other publicly available FFT software, and is even competitive with vendor-tuned codes.In contrast to vendor-tuned codes, however, FFTW’s USING R — EASIER ERROR HANDLING WITH TRY() In a previous post we looked at error handling in R with the tryCatch() function and how this could be used to write Java style try-catch-finally blocks. This time we USING R — PACKAGE INSTALLATION PROBLEMS The solution is to deactivate the port version of R and install it from download. Then reinstall the png package. sudo port deactiveate R. Use “deactivate R@3.3.2” or similar if a specific version is installed. Then install R from CRAN. Finally, use BP STATISTICAL REVIEW OF WORLD ENERGY 2005WEB VIEW Approximate conversion factors Electricity Generation Primary Energy - Cons by fuel Primary Energy - Consumption Hydro Consumption - tonnes Hydro Consumption TWh* Home (current)
* Services + Team
* Projects
* Join Us
* Contact
MAZAMA SCIENCE
SEE YOUR DATA.
Mazama Science provides modern, open source approaches to data management, analysis and visualization. We collaborate with clients across disciplines to make large, high-value datasets more usable with intuitive, interactive tools. Code for Recent Projects SOUND SCIENCE, REAL DELIVERABLES.CUSTOM SOFTWARE
At Mazama Science, client needs and constraints don’t impede our development process, they inspire it. We work new, robust tools into existing software pipelines, and document every step. CUSTOM USER INTERFACES We build powerful user interfaces by combining carefully-crafted modular components. The result is scalable, flexible and designed to extract the most from your hard-earned data. ANALYSIS AND REPORTING We elevate publications of all types with better data analysis and visualization. Automation and reproducibility permeate our process, making changes in underlying data easy to accommodate.TRAINING
Mazama Science takes the guesswork out of knowing how and when to ask staff to learn new software. We share our favorite tools in hands-on trainings created especially for scientists.* Services and Team
* See Our Work
* Fields of Study
SPECIALIZING IN ENVIRONMENTAL MONITORING DATA.AIR QUALITY
Air quality professionals need robust tools that provide detailed and careful analysis of raw monitoring data. These tools must support the creation of documents and websites that are clear and attractive. Our air quality solutions are designed to be:SIMPLE
Mazama Science creates open source air quality data solutions that make working with large volumes of monitoring data easier than ever. Our compact, simple-is-better model allows us to analyze and plot data from 1-10,000 monitors at a time.POWERFUL
We are experts at putting R to work in operational settings that demand the highest standards of academic and regulatory rigor. Our packages include data validation, spatial clustering, time series aggregation, NowCast smoothing, and a wide variety of custom features.REPRODUCIBLE
We believe in reproducible results. Because our reports and web-based products are built using our open source analysis packages, every aspect of our work (and the data you rely on) can be vetted and reproduced by other air quality professionals. * Tour the PWFSLSmoke R Package * PWFSLSmoke R Package on CRANand
GitHub
* 10 Years of Harmonized Datasetsand Real Time
Datasets from AirFire -------------------------SEISMOLOGY
We have extensive experience performing robust analysis and calculation of state-of-health metrics from seismic waveform data. Through our longstanding relationship with the IRIS Data Management Center, Mazama Science helps deliver efficient, usable tools to seismology professionals dedicated to elevating their craft, and thecommon good.
* Tour the MUSTANG Databrowser * Official Releases for seismicRoll,
IRISSeismic
, and
IRISMustangMetrics
GEOSPATIAL ANALYSIS
If your GIS specialist is having a tough time mapping your question using standard tools, it’s likely time for a custom solution. Our team excels at harnessing open source data and GIS software in R, python, javascript and PostGIS to get below the surface and answer interesting geospatial questions that create connection and fostercollaboration.
* MazamaSpatialUtils R Package on CRANand GitHub
------------------------- RESOURCE MANAGEMENT, MEDICINE AND MORE Many research institutions and individual labs have trouble staying abreast of new developments in the research software they rely on. Whether it is R, Python, NetCDF, NodeJS, d3 or general web development, we are committed to bringing the best and most appropriate solutions to the scientists we work with. * Tour the FASTAViewer Databrowser Demo * Genomics Data Analysis and Graphics for Paper in Clin TranslImmunology
See Our Work
WHAT'S NEW IN THE LAB It’s wildfire season again. Everyone is busy hardening the new developments that are used operationally to assess and communicate wildfire smoke impacts. We efficiently spin up interns to meaningfully engage in our air quality monitoring tools, enabling them to make important contributions to data visualization, automated reporting, data processing, and robustness testing. Mazama Science is proud to partner with bright young minds, and leverage science to improve the quality of life in our communities.Join the Team
WANT TO DO MORE WITH YOUR DATA, BUT JUST AREN’T SURE WHERE TO START? WANT TO DO MORE WITH YOUR DATA, BUT JUST AREN’T SURE WHERE TO START? No problem. We’re here to help, and love talking shop.Get in Touch
Jonathan Callahan, PhD and Leska Fore, MS Co-Founders and Lifelong Advocates for Doing More with Public Data INFO@MAZAMASCIENCE.COM / SEATTLE, WASHINGTON Mazama Science 2019, All Rights Reserved, A Bantam Site1 / 1
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