Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. In a series of three workshops, we are covering the basics of Geostatistics. In […]
Deep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level, Python interface running on top of multiple neural network libraries, including the popular library TensorFlow. In this workshop, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with […]
Many environmental variables such as temperature, rainfall, air pollutants, and soil nutrients are measured at sparsely sampled point locations. We often need to estimate these variables at one of more unsampled locations. Geostatistics provide tools and techniques to carry out this task. In a series of three workshops, we will cover the basics of Geostatistics. […]
Elevation data can come in the form of point (e.g. from LiDAR), digital elevation model (DEM), or triangulated irregular network (TIN). In this workshop we will focus on DEM and TIN. We will learn about each model and related data structure, their relative strengths, the kind of information they provide, and how to obtain downstream […]
Like other image processing problems, deep learning has brought many effective solutions to the task of image segmentation. This workshop will introduce you to the methods used in image segmentation, demonstrate how to prepare your own segmentation masks using Matlab, and guide you through performing image segmentation using the FastAI Python library, which is built on the deep […]
Understanding how heights are measured and recorded in GIS systems are essential for many applied tasks such as modeling flood risk due to sea level rise. In this workshop we will understand vertical datums, the concept of height, and what do terms like orthometric height and ellipsoid height mean. This will be a lecture-style workshop […]
PostGIS, built on top of PostgreSQL, is the most powerful open-source relational database for managing spatial data. In this workshop we will cover the basic concept of spatial databases, learn about setting PostGIS, and understand how PostGIS can help us manage large volumes of vector data spread over multiple tables and geometries efficiently. We will also […]
Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors, and allow scientists to test different models to guide real-world research. However, these can be individually complex, and written in different computer languages and programs. It's a difficult task to combine simulators from different parts […]
Software development and computer programming is increasingly a major part of scientific research. Having a consistent coding style and following basic best practices used in the industry can help make your code easier to read and manage, both internally in your teams and for public code projects available to other researchers. This workshop will cover […]
Like many image processing problems, deep learning has brought many effective solutions to the task of object detection. The TorchVision library is part of the PyTorch project, and it offers well-established and successful methods for object detection (as well as many other problems). This workshop will demonstrate the process of preparing your own image dataset and […]