Geospatial predictive modeling is conceptually rooted in the principle that the occurrences ofevents being modeled are limited in distribution. Occurrences of events are neither uniformnor random in distribution – there are spatial environment factors (infrastructure, sociocultural,topographic, etc.) that constrain and influence where the locations of events occur.Geospatial predictive modeling attempts to describe those constraints and influences byspatially correlating occurrences of historical geospatial locations with environmental factorsthat represent those constraints and influences. Geospatial predictive modeling is a processfor analyzing events through a geographic filter in order to make statements of likelihood forevent occurrence or emergence. (Wikipedia).
Modeling with Trigonometric Functions! (Formative Assessment w/Feedback)
Link: https://www.geogebra.org/m/cuCwguXP BGM: Simeon Smith
From playlist Trigonometry: Dynamic Interactives!
10b Data Analytics: Spatial Continuity
Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.
From playlist Data Analytics and Geostatistics
22 Spatial Data Analytics: Decision Making
Spatial data analytics course lecture on optimum decision making in the presence of uncertainty.
From playlist Spatial Data Analytics and Modeling
Adding Vectors Geometrically: Dynamic Illustration
Link: https://www.geogebra.org/m/tsBer5An
From playlist Trigonometry: Dynamic Interactives!
A solar system, a simulation made with Excel
An Excel simulation of the solar system. You can see how things are recursively computed: the mutual gravity force from the locations, the accelerations, the velocities, and finally the updated locations. The solar eclipse is also shown. This is clip is intended to illustrate Chapter 24 Ap
From playlist Physics simulations
3D Composite Solid Modeling in GeoGebra 3D
Just for fun: Composite solid modeling in #GeoGebra #3d & #AugmentedReality using geometric transformations. https://www.geogebra.org/m/thjnm4zc #MTBoS #ITeachMath #math #maths #EdTech #mathematics #geometry #HSMath #HSMathChat #GeomChat
From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas
The Defence Context, Geospatial Standards for Data Science - Dr Paul Cripps, Dstl
About the event Advances in geospatial technologies have led to a significant increase in the role of geospatial data across sectors such as agriculture, aviation, energy, utilities, hydrology, smart cities, government, health and others. As more geospatial data has been collected and ana
From playlist Geospatial Standards for Data Science
How JupyterLab and widgets enable interactive analysis of the Earth's past, present, and future
How JupyterLab and widgets enable interactive analysis of the Earth's past, present, and future Tyler Erickson (Google) The Earth is rapidly changing, and this change has numerous important environmental and societal impacts. There is a strong need to understand these changes at a global
From playlist JupyterCon in New York 2018
AMA - Begin a Career in Data Science | Future of Data & AI | Data Science Dojo
In this AMA session, we will cover the essentials of starting a career in data science. We will discuss the key skills, resources, and strategies needed to break into data science and give advice on how to stand out from the competition. We will also cover the most common mistakes made whe
From playlist Future of Data and AI: Panel Discussions
3D Volumetric Weather for Flight Planning - Sanjeet Suhag
Presentation from The Campus Alliance for Advanced Visualization 2019 (CAAV19) held at Indiana University (IU) in Bloomington, Indiana. Abstract: Sanjeet Suhag (Purdue University), Allison Hopkins (Purdue University), George Takahashi (Purdue University), and Ethan Krimins (Flight Profile
From playlist CAAV19 - The Campus Alliance for Advanced Visualization 2019
(ML 10.7) Predictive distribution for linear regression (part 4)
How to compute the (posterior) predictive distribution for a new point, under a Bayesian model for linear regression.
From playlist Machine Learning
GeoGebra 3D Calculator: When to Use?
GeoGebra 3D Calculator is one of the five apps in Calculator Suite. https://www.geogebra.org/calculator
From playlist GeoGebra Apps Intro: Which to USE?
Where: Jack Dangermond, "Realizing Spatial Intelligence on
Jack Dangermond (ESRI) "Realizing Spatial Intelligence on the GeoWeb"
From playlist Where 2.0 2009
More Composite Solid Modeling & Testing In GeoGebra 3D with Augmented Reality
#Math Ts: Geometric constructions & transformations really come alive when building mathematical models in #GeoGebra #3d! And #AugmentedReality lets us test the accuracy of these models! More info re: getting started: https://www.geogebra.org/m/cqt9tnu8. #maths #EdTech
From playlist GeoGebra 3D with AR (iOS): Explorations, Demos, and Lesson Ideas
Environmental Data Science - Deep Random Talks - Episode 5
Check out details and register for our (free) Enviromental Data Science Workshop and Projects: https://community.ai.science/earth-environmental-data-science-workshop Notes and resources: https://ai.science/l/ee1eb08d-f273-4176-bc4c-3c91ee2d3fca@/assets -Join our ML slack community: http
From playlist Deep Random Talks - Season 1
SDS 533: Fusion Energy, Cancer Proteomics, and Massive-Scale Machine Vision — with Dr. Brett Tully
#FusionEnergy #MachineVision #CancerProteomics Dr. Brett Tully joins us on the podcast to discuss his work as Director of AI Output Systems at Nearmap and his previous research in biomedical topics and nuclear fusion. In this episode you will learn: • What is Nearmap? [2:40] • What is a
From playlist Super Data Science Podcast
Tableau Training for Beginners Part 1 | Learn Tableau | Tableau Tutorial for Beginners - 1 | Edureka
** Flat 20% Off (Use Code: YOUTUBE20) Tableau Training: https://www.edureka.co/tableau-certification-training ** This Edureka Tableau Training for beginners (Tableau Tutorial Blog: https://goo.gl/DaqKvp) helps you understand about Tableau Dashboard in detail. This Tableau Tutorial is ideal
From playlist Webinars by Edureka!
(TUA2) Conference Keynote: Location - its role in solving urban issues facing our world
Taken from 'Towards urban analytics 2.0' 'Everything happens somewhere’ means that over 95% of all data collected contains locational information. This talk will demonstrate the vital role location information plays in assisting governments, inter-governmental organisations and the privat
From playlist Towards urban analytics 2.0
Geospatial Standards for Data Science - Dr Gobe Hobona, OGC
About the event Advances in geospatial technologies have led to a significant increase in the role of geospatial data across sectors such as agriculture, aviation, energy, utilities, hydrology, smart cities, government, health and others. As more geospatial data has been collected and ana
From playlist Geospatial Standards for Data Science
01c Spatial Data Analytics: Modeling Goals
A lecture on subsurface modeling goals.
From playlist Spatial Data Analytics and Modeling