Numerical Methods Numerical recognition of alignments in monogenetic volcanic areas: Examples from the Michoacán-Guanajuato Volcanic Field in Mexico and.

Slides:

Advertisements

Similar presentations

Map Skills 2 ‘Scales’ To understand how we can measure distances on a map. 1.Explain the terms ‘Scale’ and ‘Scale line’. Scale Line.

Advertisements

By Neil Kruger Supervisor: Prof. KD Palmer University of Stellenbosch

AP Statistics Section 2.1 B

Morphology and Spatial Distribution of Cinder Cones at Newberry Volcano, Oregon: Implications for Relative Ages and Structural Control on Eruptive Process.

SECONDARY VALIDATION - RAINFALL DATA PRIMARY VALIDATION ALREADY DONE *ON INDIVIDUAL STATION BASIS SECONDARY VALIDATION *IDENTIFY SUSPECT VALUES BY HAVING.

Geog 409: Advanced Spatial Analysis & Modelling © J.M. Piwowar1Modelling Essentials Model Parsimony vs. Model Simplicity.

Structural control of igneous complexes and kimberlites: a new statistical method Dazheng Zhang and Lutz, T.,

Computing correspondences in order to study spatial and temporal patterns of gene expression Charless Fowlkes UC Berkeley, Computer Science.

Applied Geostatistics Geostatistical techniques are designed to evaluate the spatial structure of a variable, or the relationship between a value measured.

Regionalized Variables take on values according to spatial location. Given: Where: A “structural” coarse scale forcing or trend A random” Local spatial.

Scaling laws of the size distribution of monogenetic volcanoes within the Michoacan-Guanajuato Volcanic Field (Mexico)

1. ABSTRACT Newberry Volcano of central Oregon is located in a complex, extensional tectonic setting. Fracture systems converging near the volcanic center.

Project Goals and Objectives: Create a comprehensive GIS of geologic features at Newberry Volcano. Perform morphometric analyses on ~200 cinder cones including.

Advanced GIS Using ESRI ArcGIS 9.3 Arc ToolBox 5 (Spatial Statistics)

Information Visualization Chapter 1 - Continued. Reference Model Visualization: Mapping from data to visual form Raw DataData Tables Visual Structures.

Method of Soil Analysis 1. 5 Geostatistics Introduction 1. 5

Map Projections Displaying the earth on 2 dimensional maps

Map Projections. What is a Map Projection? A mathematical expression used to represent the 3D surface of the earth on a 2D map Always results in distortions.

Spring 2011 ES407 Senior Seminar New Approaches to Geomorphic Analysis of Cinder Cones at Newberry Volcano Jody “Coyote” Becker, Kelsii “Crusher” Dana,

Spatial Statistics Applied to point data.

1 Review Descriptive Statistics –Qualitative (Graphical) –Quantitative (Graphical) –Summation Notation –Qualitative (Numerical) Central Measures (mean,

Esri Southeast User Conference Lara Hall May 5, 2014.

Lineament field distortion and its analysis. By Dmitry Kukushkin, Ph. D. Researchers in geology, LLC.

Cognitive ability affects connectivity in metapopulation: A simulation approach Séverine Vuilleumier The University of Queensland.

Chapter 13: Correlation An Introduction to Statistical Problem Solving in Geography As Reviewed by: Michelle Guzdek GEOG 3000 Prof. Sutton 2/27/2010.

2-D 3-D Building a home Landscaping Hiking Fishing Camping Planning a highway Why are Topographic Maps Useful? Who uses Topographic Maps? Military Construction.

Digital Image Processing Definition: Computer-based manipulation and interpretation of digital images.

Center for Modeling & Simulation. ► A means of converting coordinates on a curved surface to coordinates on a plane ► The surface of projection can.

Chapter 3 Looking at Data: Distributions Chapter Three

Maps and photos - Chapter 6 & 7 All maps have common elements Scale Legend Coordinate system Orientation info- directional system Maps and photos - Chapter.

Volume of cones.

What’s the Point? Working with 0-D Spatial Data in ArcGIS

So, what’s the “point” to all of this?….

Methods for point patterns. Methods consider first-order effects (e.g., changes in mean values [intensity] over space) or second-order effects (e.g.,

Morphology and Spatial Distribution of Cinder Cones at Newberry Volcano, Oregon: Implications for Relative Ages and Structural Control on Eruptive Process.

Notes Unit 1 Chapters 2-5 Univariate Data. Statistics is the science of data. A set of data includes information about individuals. This information is.

Descriptive Statistics – Graphic Guidelines

+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.

Introduction to Earth Science Notes: Pages

+ Chapter 1: Exploring Data Section 1.3 Describing Quantitative Data with Numbers The Practice of Statistics, 4 th edition - For AP* STARNES, YATES, MOORE.

Map Projections, Cartographic Concepts -Map Projections -Coordinate Systems.

What is a map? A representation of the 3-dimensional (3-D) Earth on a 2-dimensional (2-D) (flat) surface.

Why Is It There? Chapter 6. Review: Dueker’s (1979) Definition “a geographic information system is a special case of information systems where the database.

Chapter 2 The Normal Distributions. Section 2.1 Density curves and the normal distributions.

Cases and controls A case is an individual with a disease, whose location can be represented by a point on the map (red dot). In this table we examine.

Introduction to Spatial Statistical Analysis

Projection Identification

CHAPTER 1 Exploring Data

Mapping Earth’s Surface

Summary of Prev. Lecture

Previous Work on Cinder Cones

POTENTIAL METHODS Part 2c Data interpolation

From: Contour extracting networks in early extrastriate cortex

CHAPTER 1 Exploring Data

Central Tendency Central Tendency – measures of location for a distribution Mode – the commonly occurring number in a data set Median – the middle score.

2.1 Normal Distributions AP Statistics.

Jeff Trop, Bucknell University

Descriptive Statistics: Describing Data

Warmup Draw a stemplot Describe the distribution (SOCS)

SWBAT: Review sampling distributions of sample proportions and means

Basic Spatial Analysis Tools

Why are Spatial Data Special?

Chapter 1: Exploring Data

Siyao Xu Earth, Energy and Environmental Sciences (EEES)

Sampling Distribution Models

CHAPTER 1 Exploring Data

Cell Flexibility Affects the Alignment of Model Myxobacteria

Mathematics Unit 5: Continent Area

Map Projections Displaying the earth on 2 dimensional maps

Presentation transcript:

Numerical Methods Numerical recognition of alignments in monogenetic volcanic areas: Examples from the Michoacán-Guanajuato Volcanic Field in Mexico and Calatrava in Spain. J.M. Cebriá, C. Martín-Escorza, J. López-Ruiz, D.J. Morán-Zenteno, B.M. Martiny Journal of Volcanology and Geothermal Research 201 (2011) pages

Early Research Average orientations of nearby cones (Kear 1964) Density mapping of cones (Porter 1972) Statistical analysis based on nearest- neighbour and quadrant methods (Tinkler 1971)

(1) Spatial Transform methods (Wadge and Cross 1988) (2) Azimuth methods (Lutz 1986) (3) Strip methods (Zhang and Lutz 1989) Steve Taylor and Jeff Templeton

Limitations (1) Spatial Transform methods (Wadge and Cross 1988) Simulates human visual capability (2) Azimuth methods (Lutz 1986) Dependent on shape of study area (3) Strip methods (Zhang and Lutz 1989) Fails to address small scale features

Location Maps Michoacán-Guanajuato Volcanic Field, Mexico (Arc magmatism) Calatrava, Spain (Intraplate magmatism)

Distance Between Vents MGVF (skewness 0.51) Calatrava (skewness not given)

Lineaments of lines shorter than one third of one standard deviation below mean MGVF lines less than 12 kmCalatrava lines less than 5 km

Random Lineaments skewness 0.26

Caution ! “Straight application of quantitative methods to identify possible alignments in the geological record may produce mathematically acceptable results but also meaningless from a geological point of view. To avoid this, any attempt at numerical recognition of alignments resulting from a geological process should be supported by field observations.”

Further Thoughts Temporal Chemical..and spatial