Spatial scale is a specific application of the term scale for describing or categorizing (e.g. into orders of magnitude) the size of a space (hence spatial), or the extent of it at which a phenomenon or process occurs. For instance, in physics an object or phenomenon can be called microscopic if too small to be visible. In climatology, a micro-climate is a climate which might occur in a mountain, valley or near a lake shore. In statistics, a megatrend is a political, social, economical, environmental or technological trend which involves the whole planet or is supposed to last a very large amount of time. The concept is also used in geography, astronomy, and meteorology. These divisions are somewhat arbitrary; where, on this table, mega- is assigned global scope, it may only apply continentally or even regionally in other contexts. The interpretations of meso- and macro- must then be adjusted accordingly. (Wikipedia).
This video shows how to use unit scale to determine the actual dimensions of a model and how to determine the dimensions of a model from an actual dimensions. http://mathispower4u.yolasite.com/
From playlist Unit Scale and Scale Factor
21 Spatial Data Analytics: Spatial Scale
Subsurface modeling course lecture on scale.
From playlist Spatial Data Analytics and Modeling
Dimensions (1 of 3: The Traditional Definition - Directions)
More resources available at www.misterwootube.com
From playlist Exploring Mathematics: Fractals
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
From playlist Courses and Series
Ex: Determine the Value of a Number on a Logarithmic Scale (Log Form)
This video explains how to determine the value of several numbers on a logarithmic scale scaled in logarithmic form. http://mathispower4u.com
From playlist Using the Definition of a Logarithm
Chapter 5 of the Dimensions series. See http://www.dimensions-math.org for more information. Press the 'CC' button for subtitles.
From playlist Dimensions
Chapter 1 of the Dimensions series. See http://www.dimensions-math.org for more information. Press the 'CC' button for subtitles.
From playlist Dimensions
Chapter 2 of the Dimensions series. See http://www.dimensions-math.org for more information. Press the 'CC' button for subtitles.
From playlist Dimensions
DIRECT 2021 08 Spatial Statistics for Modeling
DIRECT Consortium at The University of Texas at Austin, working on novel methods and workflows in spatial, subsurface data analytics, geostatistics and machine learning. This is Spatial Statistics for Characterization and Modeling Subsurface Fractures by Mahmood Shakiba, supported by th
From playlist DIRECT Consortium, The University of Texas at Austin
Essential Cosmological Perturbation Theory by David Wands
PROGRAM : PHYSICS OF THE EARLY UNIVERSE - AN ONLINE PRECURSOR ORGANIZERS : Robert Brandenberger (McGill University, Montreal, Canada), Jerome Martin (Institut d'Astrophysique de Paris, France), Subodh Patil (Instituut-Lorentz for Theoretical Physics, Leiden, Netherlands) and L Sriramkumar
From playlist Physics of The Early Universe - An Online Precursor
MIT 8.962 General Relativity, Spring 2020 Instructor: Scott Hughes View the complete course: https://ocw.mit.edu/8-962S20 YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP629n_3fX7HmKKgin_rqGzbx Cosmology and cosmological spacetimes. This is the first spacetime we compu
From playlist MIT 8.962 General Relativity, Spring 2020
Alison Etheridge: Spatial population models (3/4)
Abstract: Mathematical models play a fundamental role in theoretical population genetics and, in turn, population genetics provides a wealth of mathematical challenges. In these lectures, we focus on some of the models which arise when we try to model the interplay between the forces of ev
From playlist Summer School on Stochastic modelling in the life sciences
Self-organized formation of topologically robust grid cell modules from smooth.. by Sarthak Chandra
DISCUSSION MEETING NEUROSCIENCE, DATA SCIENCE AND DYNAMICS (ONLINE) ORGANIZERS: Amit Apte (IISER-Pune, India), Neelima Gupte (IIT-Madras, India) and Ramakrishna Ramaswamy (IIT-Delhi, India) DATE : 07 February 2022 to 10 February 2022 VENUE: Online This discussion meeting on Neuroscien
From playlist Neuroscience, Data Science and Dynamics (ONLINE)
ML+X Seminar: Prof Pyrcz - Data Analytics and ML for Subsurface Engineering and Geoscience
The subsurface resource industry has a long history of working with large, complicated geoscience and engineering datasets. The subsurface industry been working with ‘big data’ for decades! There is a growing toolbox of legacy and new emerging data-driven methods available that may offer i
From playlist Random Talks
General Relativity Topic 29: FRW Cosmologies
Lecture from 2017 upper level undergraduate course in general relativity at Colorado School of Mines
From playlist Colorado School of Mines/Alex Flournoy: General Relativity | CosmoLearning.org Physics
11b Data Analytics: Variogram Modeling
Lecture on variogram modeling.
From playlist Data Analytics and Geostatistics
10c Data Analytics: Variogram Introduction
Lecture on the variogram as a measure to quantify spatial continuity.
From playlist Data Analytics and Geostatistics
Chapter 6 of the Dimensions series. See http://www.dimensions-math.org for more information. Press the 'CC' button for subtitles.
From playlist Dimensions
How to Detect Extra Dimensions
Viewers like you help make PBS (Thank you 😃) . Support your local PBS Member Station here: https://to.pbs.org/DonateSPACE On this Space Time Journal Club we look at how gravitational waves can be used to search for extra dimensions of space! To learn more about CuriosityStream you can go
From playlist Space Time!