#Environmental visualization software how to
#Environmental visualization software software
#Environmental visualization software code
#Environmental visualization software series

вЂњQuantimet is our first commercial tool intended to benefit all users from national defense to commercial markets.

#Environmental visualization software software

вЂњIntellisense has been developing software solutions for our government customers for many years,вЂќ said David Miller, Vice President and General Manager of Products and Engineering at Intellisense Systems. Cloud-based data logging takes advantage of the cost savings, infinite capacity, instant availability, and backup protection inherent in cloud storage solutions.

There is no need to store data locally in remote devices that are always connected to the cloud. Intellisense offers remote sensors connected to the Internet via an assortment of communications technologies including cellular, satellite, RF radio, and hardwired. Quantimet represents the next evolution in environmental reporting software by collecting data from a broad range of Internet of Things (IoT) devices and leveraging the advantages of cloud-based data-logging. The platform is designed to be sensor agnostic and will also support data reported from other environmental sensors including AWARE Flood Sensors and third-party meteorological sensors through the Quantimet API. Today, it is available as a beta release to owners of IntellisenseвЂ™s Weather Sensors. Р’ РёРЅС‚РµСЂРЅРµС‚-РјР°РіР°Р·РёРЅРµ РЅР°С€РµРіРѕ РїР°СЂС‚РЅРµСЂР° РІС‹ РјРѕР¶РµС‚Рµ РєСѓРїРёС‚СЊ Рё РїСЂРѕС‡РёС‚Р°С‚СЊ РєРЅРёРіСѓ РІ Р±СѓРјР°Р¶РЅРѕРј РІР°СЂРёР°РЅС‚Рµ.Torrance,CA, Ap(GLOBE NEWSWIRE) - ApвЂ“ Torrance, CA вЂ“ Intellisense Systems, Inc., a leading provider of integrated environmental sensing solutions, introduces Quantimet, a software platform that provides present weather reporting, cloud-based data-logging, trend visualization, and remote control of autonomous environmental sensors. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.

Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels.

#Environmental visualization software code

A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software.

Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter.

#Environmental visualization software series

Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling-all of which are explored through case studies that use real data from earth science applications. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies.

#Environmental visualization software how to

Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems.

Рћ РєРЅРёРіРµ 'Statistics for Earth and Environmental Scientists'ДЄ comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water.