Current Webinars and Workshops


The Role(s) of Statistics in Study Design – Live Online Webinar on April 14th at 1 p.m.!
Sarah L. Hession, Ph.D.

Have you started your statistical analysis and found you are missing important data? Have you ever completed a study only to be frustrated with results that are not significant? You can avoid these problems by designing your study with these statistical endpoints firmly in mind. Study designs that incorporate statistics from the beginning (establishing research questions) to end (data analysis) can save you a significant amount of time and money and yield more favorable results. This webinar will show you the earlier you start to think statistically, the more successful your studies will be. You will leave the webinar with:

  • A clear understanding of the important roles of statistics in study design
  • A roadmap to designing statistically powerful studies
  • Examples and discussion of various statistical applications in environmental quality, medicine, geography, and climate change

The duration of the presentation is 2 hours with up to 1 hour of Q&A after the presentation. Feel free to come with questions on any of your study designs.

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Mapping in MATLAB – Live Online Webinar on April 15th at 1:30 p.m.!
Lani Clough Fox, M.S.

This course will teach you how to create publication quality, eye-catching and easily interpretable maps in MATLAB! Mapping in MATLAB is designed for those already familiar with MATLAB or who have already completed the Introductory course. It is an interactive course. You will get the most out of this hands-on experience if you have access to MATLAB on your computer so you can follow along with the exercises!

This course will teach the following features of MATLAB:

  • How to read in and manipulate geographic data in MATLAB (including ESRI shapefiles)
  • Functions available for making map and how to use them
  • Geographic analysis and interpretation
  • Creating eye-catching, beautiful maps

The duration of the presentation is 2 hours with up to 1 hour of Q&A after the presentation. Feel free to come with questions on any current MATLAB-related work.

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Geostatistics in Practice – Live Online Webinar on April 18th at 1 p.m.!
Pierre Goovaerts, Ph.D.

What is geostatistics and how could it be useful to my field of application?

Geostatistics provides a set of statistical tools for the analysis of data distributed in space and time. Since its development in the mining industry, geostatistics has emerged as the primary tool for spatial data analysis in various fields, ranging from earth and atmospheric sciences, to agriculture, soil science, environmental studies, and more recently exposure assessment. This webinar will present a richly illustrated overview of the main steps and outputs of a geostatistical analysis. Examples include the mapping of soil heavy metal concentrations, the prediction of groundwater arsenic concentrations, the computation of volumes of contaminated sediments, the mapping of prostate and breast cancer risks, the detection of anomalies in hyperspectral imagery, the mapping of soil nitrates in a watershed, and the modelling of the spatial density of wild animals in a national park.

The duration of the presentation is 2 hours including Q&A. Feel free to come with questions.

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The Role(s) of Statistics in Environmental Studies – Live Online Webinar on April 21st at 1 p.m.!
Sarah L. Hession, Ph.D.

Environmental studies are often costly; poor planning can lead to additional expenses and ineffective remedial strategies. A well-planned environmental study will optimize the ability to provide accurate results for clearly defined study goals while minimizing costs. A complicating factor in environmental studies is the variety of study goals, which often overlap depending on the phase(s) of the study. This webinar will outline: 1) common environmental study goals, 2) sampling designs corresponding to these study goals, and 3) statistical methods that can be used to answer pre-specified research questions. You will see these aspects of study design are interdependent, and an effective environmental study will incorporate details on each aspect up front. Examples of poorly designed environmental studies will be provided as well as a study that led to effectively reducing environmental risks while minimizing costs. You will leave the webinar with an understanding of:

  • The scientific method applied to environmental studies
  • Sampling strategies corresponding to various study goals
  • The interdependence between study goals, sampling designs, and statistical methods

The duration of the presentation is 3 hours including up to 1 hour of Q&A after the presentation. Feel free to come with statistical questions on any of your environmental projects.

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Introduction to MATLAB – Live Online Webinar on April 23rd at 1 p.m.!
Lani Clough Fox, M.S.

This is an introductory webinar to quickly get you up to speed on the MATLAB basics. No previous MATLAB experience is necessary! This is an interactive course. You will get the most out of this hands-on experience if you have access to MATLAB on your computer so you can follow along with the exercises!

This course will teach the following features of MATLAB:

  • Matrix generation (a must to use MATLAB - the Matrix Laboratory)
  • Mathematical functions
  • Function programming - begin to unleash the power of MATLAB by learning to write your own scripts and functions
  • Reading and writing data files - this will allow you to access & analyze already existing data in MATLAB and export data to other sources (e.g. Excel) post analysis

The duration of the presentation is 2 hours with up to 1 hour of Q&A after the presentation. Feel free to come with questions on any current MATLAB-related work.

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Geostatistics in Medical Geography – Live Online Webinar on May 6th at 1 p.m.!
Pierre Goovaerts, Ph.D.

What is geostatistics and how could it be useful in medical geography?

Since its development in the mining industry, geostatistics has emerged as the primary tool for spatial data analysis in various fields, ranging from earth and atmospheric sciences, to agriculture, soil science, environmental studies, and more recently exposure assessment. In the last few years, these tools have been tailored to the field of medical geography or spatial epidemiology, which is concerned with the study of spatial patterns of disease incidence and mortality and the identification of potential “causes” of disease, such as environmental exposure or socio-demographic factors. This webinar will provide an overview of geostatistical methods available for the analysis of environmental and health data both at the individual-level and aggregated over geographical units of varying sizes and shapes. It will also introduce a suite of techniques for the visualization and analysis of time series health data, including 3D display of health outcomes in a combined time and geography space, binomial kriging to filter noise in the data, joinpoint regression analysis to model time trends, and hierarchical cluster analysis to classify geographical units according to their temporal trends.

The duration of the presentation is 3 hours including Q&A. Feel free to come with questions.

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Spatial Regression and Model Selection for Climate Studies – Live Online Webinar on May 7th at 1 p.m.!
Sarah L. Hession, Ph.D.

Climate data are inherently spatial in nature. Standard statistical techniques, such as ordinary least squares (OLS) regression, are aspatial; they do not reflect the spatial autocorrelation commonly observed in climate data, yielding biased and possibly inaccurate results. OLS regression has commonly been used in studies to identify predictors of variables such as precipitation. Spatial regression is a technique that can be used to assess the role of predictive variables (i.e., independent variables) on a climatic variable (e.g., precipitation, the dependent variable) while explicitly incorporating spatial autocorrelation in parameter estimation and hypothesis testing. This approach can yield a better understanding of relationships between climatic variables and multiple predictive variables with improved statistical rigour. In this webinar, you will learn:

  • The limitations of OLS regression in evaluating spatial data
  • A variety of spatial regression techniques applied to climate data
  • The shortcomings of automated selection procedures such as stepwise regression
  • A methodical approach to model selection and optimizing identification of spatial scales of influence

The duration of the presentation is 4 hours including Q&A after the presentation. Feel free to come with questions.

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Applications of Geostatistics in Climate Studies – Live Online Webinar on May 12th at 1 p.m.!
Sarah L. Hession, Ph.D.

Global environmental change has surfaced as a critical issue to both the scientific community and the general public. One aspect of particular concern involves climate change. However, climate data are sparse over many parts of the world and global climate models are coarse in scale, masking much of the local variation in regional climate. There is a need for regional- and local-scale data for development of adaptation strategies. Geostatistics is an important tool for obtaining higher resolution data in a data sparse environment. This webinar will present a variety of geostatistical techniques, including a newly developed technique that expands upon the method of universal kriging by incorporating complex feedback relationships that produce simultaneity in climatic systems.

The duration of the presentation is 2 hours with up to 1 hour of Q&A after the presentation. Feel free to come with questions.

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Introduction to Geostatistics – Live Online Webinar on May 22nd at 1 p.m.!
Pierre Goovaerts, Ph.D.

How many data do I need to apply geostatistics? Should I transform my data first? What to do with outliers? How do I choose the classes of distance in the computation of experimental variograms? How important is variogram modeling? What is the main difference between the various types of kriging? How do I compare different implementations of kriging? These are some of the common issues that beginning geostatisticians struggle with and that are seldom discussed in textbooks. Dr. Goovaerts will share his 20 year experience in the field of applied geostatistics during this webinar where a suite of geostatistical methods for the spatial analysis of environmental data will be introduced, including the computation and modeling of variograms, spatial interpolation using kriging techniques, cross-validation and jackknife. Key concepts will be illustrated using real environmental data analyzed using the BioMedware software SpaceStat.

The duration of the presentation is 4 hours including Q&A. Feel free to come with questions.

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Intermediate MATLAB – Live Online Webinar on May 23rd at 1 p.m.!
Lani Clough Fox, M.S.

This course will take you beyond the basics and teach you advanced data handling and how to improve the performance of your code! This course is designed for those already familiar with MATLAB or who have already completed the Introductory course. This is an interactive course. You will get the most out of this hands-on experience if you have access to MATLAB on your computer so you can follow along with the exercises!

The Intermediate MATLAB webinar will teach the following features of MATLAB:

  • NaNs and how to best use them
  • Looping (for & while)
  • Conditional statements (if, else)
  • Best practices for loops and conditional statements
  • Optimizing MATLAB code (vectorization, MATLAB profiler)

The duration of the presentation is 2 hours with up to 1 hour of Q&A after the presentation. Feel free to come with questions on any current MATLAB-related work.

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Geostatistical Change of Support – Live Online Webinar on May 29th at 1 p.m.!
Pierre Goovaerts, Ph.D.

Sample support generally refers to the length, area, or volume associated with a measurement or observation. In many applications of spatial statistics, the data are measurements recorded at distinct points in space. In other applications, the spatial variable of interest is inherently associated with a unit that has area or volume. A common issue in spatial interpolation is the combination of data measured over different spatial supports. For example, in the field of medical geography, information available for mapping disease risk typically includes point data (e.g. patient’s residence) and aggregated data (e.g. socio-demographic and economic data at the census track level). Similarly, soil measurements recorded at discrete locations on the ground are often supplemented with choropleth maps (e.g. soil or geological maps) that model the spatial distribution of soil attributes as the juxtaposition of polygons (areas) with constant values.

This webinar will present a coherent geostatistical approach to address the three main types of change of support: upscaling, downscaling, and side-scaling. Key issues such as variogram deconvolution and integration of both areal and point data in the spatial interpolation of continuous attributes will be discussed, with applications to soil science and medical geography.

The duration of the presentation is 2 hours including Q&A. Feel free to come with questions.

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Parallel Computing MATLAB (Advanced) – Live Online Webinar on June 3rd at 1 p.m.!
Lani Clough Fox, M.S.

This is an advanced course designed to increase your MATLAB code performance to the highest level. This course will teach you how to use MATLAB's parallel programming and GPU functions so you can quickly analyze huge data sets. This course is designed for those already familiar with MATLAB or those who have already completed the Introductory & Intermediate courses. This is an interactive course. You will get the most out of this hands-on experience if you have access to MATLAB on your computer so you can follow along with the exercises!

The Advanced MATLAB webinar will teach the following features of MATLAB:

  • What is parallel computing and why use it
  • How to write code in Parallel
  • The Parallel Computing Tools from MATLAB & how to use them

The duration of the presentation is 2 hours with up to 1 hour of Q&A after the presentation. Feel free to come with questions on any current MATLAB-related work.

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