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Getting Started with Spatial Data Analysis in R
 
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Spatial and spatial-temporal data have become pervasive nowadays. We are constantly generating spatial data from route planners, sensors, mobile devices, and computers in different fields like Transportation, Agriculture, Social Media. These data need to be analyzed to generate hidden insights that can improve business processes, help fight crime in cities, and much more. Simply creating static maps from these data is not enough. In this webinar we shall look at techniques of importing and exporting spatial data into R; understanding the foundation classes for spatial data; manipulation of spatial data; and techniques for spatial visualization. This webinar is meant to give you introductory knowledge of spatial data analysis in R needed to understand more complex spatial data modeling techniques. In this webinar, we will cover the following topics: -Why use R for spatial analysis -Packages for spatial data analysis -Types of spatial data -Classes and methods in R for spatial data analysis -Importing and exporting spatial data -Visualizing spatial data in R
Views: 42639 Domino Data Lab
Continuous Spatial Heterogeneity
 
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Trend Surface Regression, Expansion Method and start of Multilevel Models. Lecture by Luc Anselin on spatial econometrics (2006)
Views: 399 GeoDa Software
Lecture : 8 |ArcGIS 10:  Basic Spatial Analysis
 
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This is the part of Lecture series from SabberFoundation. Lectured by Md. Sabber Ahamed, Jahangirnagar University, Bangladesh. In Facebook : http://www.facebook.com/groups/learnGISforUS/
Views: 112942 SabberFoundation
Film psychology THE SHINING spatial awareness and set design 1of2
 
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UPDATE 2017 RE: ADDITIONAL CONTENT. I have almost ten hours worth of unlisted Youtube videos that can only be viewed via their links on my website (those videos don’t appear publicly on my channel or in Youtube searches, but are still to free to watch). I no longer sell DVD sets, instead I sell digital downloads on my site – quicker and cheaper (dozens of hours worth of extra content, the bulk of my work). I also have a Patreon account for folks who are interesting in crowd-funding future videos and accessing more exclusive content. If you follow me on Facebook and Twitter you can get updates about the latest special offers and frebies. All links below. WEBSITE: http://www.collativelearning.com/ PATREON: https://www.patreon.com/RobAger FACEBOOK: https://en-gb.facebook.com/RobAgerpublic/ TWITTER: https://twitter.com/RobAger?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor How Stanley Kubrick used Escher-styled spacial awareness & set design anomalies to disorientate viewers of his horror classic The Shining. This is a must for serious Kubrick fans and psychology students. Written, narrated and edited by Rob Ager
Views: 892968 Collative Learning
ShmooCon 2014: A Critical Review of Spatial Analysis
 
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For more information visit: http://bit.ly/shmooc14 To download the video visit: http://bit.ly/shmooc14_down Playlist Shmoocon 2014: http://bit.ly/shmooc14_pl Speakers: David Giametta | Andrew Potter Spatial Analysis is a recently proposed idea of using static analysis based byte sequences characterized by statistical features fused and graphed into 2-D grids where new exploitable information is obtained. The new information is the spatial structure similarity of byte sequences located with files believed to be similar and related. The structure is generated using simple fixed size sliding windows moving along the byte sequences of a file and calculating features (mean and standard deviation). These features are used to determine matches of highly similar but not necessarily exact byte sequences whose features map them into grid cell regions thereby indicating "nearness." The idea of being able to discern malware family members based on the similarity of byte sequences could prove invaluable as a quick assessment tool to the analyst currently using dynamic and static techniques. We take a first look at the validity of some of the assumptions Spatial Analysis makes to see if there is any merit to the idea and present our initial findings.
Views: 797 Christiaan008
Spatial Reasoning Test Questions
 
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Get FREE Spatial Tests & Answers » https://mx283-854745.pages.infusionsoft.net
Views: 238596 CareerVidz
Introduction to Spatial Analysis (GIS) using ArcGIS Desktop and the Time Slider Window
 
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www.knowgis.com (13.2 Minutes) Visit www.KnowGIS.com for more free tutorials. In this free tutorial, we animate spatial features over time, using the ArcGIS Time Slider Window. During this tutorial, we use ArcGIS Destop 10, talk of Spatial Analysis as a method of analysing data though a process of applying analytical techniques. provides an example of how it could be used to facilitate visual analysis. As part of this tutorial, we will "time-enable" spatial data relating to water wells mapped for the state of Montana, USA. We will visualize how data changes over time which provides opportunities for in-depth visual analysis. After a short discussion on Spatial Analysis, we will set the foundation for using the Time Slider Window so we can view temporal change though an animation. The animation will then be exported to a movie for use in non-linear video editing. The Time Slider window provides unique controls that allow spatial data to be visualized in an "animated map". The Time Slider window is invoked by clicking the Open Time Slider Window button on the Tools toolbar. Keep in mind that this button may be unavailable if you do not have any time-enabled datasets in your map, scene, or ArcGIS globe. We;ll add a temporal dataset to ArcMap and then set its time properties in order to visualize it through time using the Time Slider in ArcMap, ArcGlobe, or ArcScene. Visit www.knowgis.com for more tutorials or to learn more about the complete training series for learning and knowing ArcGIS Desktop. Thank you.
Views: 31748 Jere Folgert
Spatial interpolation techniques
 
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Spatial Interpolation techniques
What is SPATIAL BIFURCATION? What does SPATIAL BIFURCATION mean? SPATIAL BIFURCATION meaning
 
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What is SPATIAL BIFURCATION? What does SPATIAL BIFURCATION mean? SPATIAL BIFURCATION meaning - SPATIAL BIFURCATION definition - SPATIAL BIFURCATION explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Spatial bifurcation is a form of bifurcation theory. The classic bifurcation analysis is referred to as an ordinary differential equation system, which is independent on the spatial variables. However, most realistic systems are spatially dependent. In order to understand spatial variable system (partial differential equations), some scientists try to treat with the spatial variable as time and use the AUTO package get a bifurcation results. The weak nonlinear analysis will not provide substantial insights into the nonlinear problem of pattern selection. To understand the pattern selection mechanism, the method of spatial dynamics is used, which was found to be an effective method exploring the multiplicity of steady state solutions.
Views: 27 The Audiopedia
GCAT - GIS Crash Analysis Tool - Webinar
 
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Recorded on Thursday, June 14, 2018. This webinar provides an overview of the Ohio Department of Transportation's (ODOT's) GIS Crash Analysis Tool (GCAT). The GCAT system allows users to spatially locate crashes which have occurred on their roadway networks in Ohio. GCAT is available for use by any Local Public Agency, including local law enforcement agencies. The webinar is presented by Mike McNeill, of ODOT's Safety Program. To access the GCAT system within the TIMS application, please visit the GCAT website at: https://gis.dot.state.oh.us/tims NOTE: Approximately 40 minutes into this recording, a drilling noise occurred in the background for approximately 10 minutes.
Views: 52 Ohio LTAP Center
Spatial Econometrics Introduction: An Overview of Models (Old Version-See Comments)
 
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Newer version here: https://youtu.be/6qZgchGCMds I am remaking and finishing this series. Join us at http://spatial.burkeyacademy.com Here we download a free GIS program, and a free map file of the US, and discuss how regions (neighbors) might be related to each other, as measured by spatial regression models using spatial weights matrices. I explain the major spatial econometric models: Manski, Kelejian-Prucha, Spatially lagged x, spatial autoregressive (spatial lag model), spatial error model, and spatial Durbin models. If you want to learn about spatial econometrics, this is where to start!
Views: 14635 BurkeyAcademy
Spatial Regession in R 1: The Four Simplest Models
 
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We run OLS (with spatial diagnostics), SLX, Spatial Error and Spatial Lag Models. We also run the spatial Hausman test. Along the way, we discover a bug in the R SLX code in the spdep package, and get it fixed. Very exciting! Download the file with the data and commands here: http://spatial.burkeyacademy.com/home/files/R%20Spatial%20Regression1.zip Link to the entire Spatial Statistics Playlist: https://www.youtube.com/playlist?list=PLlnEW8MeJ4z6Du_cbY6o08KsU6hNDkt4k See more at http://spatial.burkeyacademy.com My Website: http://www.burkeyacademy.com/ Support me on Patreon! https://www.patreon.com/burkeyacademy Talk to me on my SubReddit: https://www.reddit.com/r/BurkeyAcademy/
Views: 7053 BurkeyAcademy
Using MERFISH for Spatially Resolved Transcriptomics
 
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Using MERFISH for Spatially Resolved Transcriptomics at the Single Cell Level Kevin Chen, Georgia Huang, Saurabh Sudesh CHEM 251 Video Project Professor Saven Fall 2015
Views: 891 Georgia Huang
J. Andrew Royle,"Spatial Capture-Recapture Modeling"
 
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J. Andrew Royle "Spatial Capture-Recapture Modeling" USGS Patuxent Wildlife Research Center CompSust-2016 4th International Conference on Computational Sustainability July 7, 2016 3:30 PM, Machine and Statistical Learning for Conservation, Poverty, Energy, and Climate http://www.compsust.net/compsust-2016/program.php
Views: 759 CompSustNet
Overview of Spatial Econometric Models
 
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A general overview about how Spatial Econometric Models are structured, with some readings and drawbacks. We discuss three three main ways that regression models can spatially interact. Handout from video: https://sites.google.com/a/burkeyacademy.com/spatial/home/files/0.Overview%20of%20Methods%20and%20Models%202017.pdf?attredirects=0&d=1 My Website: http://www.burkeyacademy.com/ Support me on Patreon! https://www.patreon.com/burkeyacademy Talk to me on my SubReddit: https://www.reddit.com/r/BurkeyAcademy/
Views: 2354 BurkeyAcademy
Overview of GWR Analysis of Spatial Data
 
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Chenliang Wang discusses: - An overview of Geographically Weighted Regression (GWR) analysis of spatial data - Motivation about spatial statistics and GWR with MADlib and PostGIS - Technical background for GWR - Discussion about interface to implement About Chenliang Wang I am currently a data scientist at a real estate research company in China. My work is centered around statistical approaches and spatial database for hedonic regressions. Broadly, my research focuses on developing and integrating geospatial methods to advance real estate analysts. Before taking this position, I was a Ph.D student in GIS from University of Chinese Academy of Sciences, Beijing, China.
Architectural Design-Massing Part 1- Spatial Allocation
 
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Architectural Design Massing Spatial allocation Part 1 of the series Check out our website; https://bit.ly/2xJXtBT
Views: 17908 PHADS
Exploring GIS: Spatial thinking
 
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An overview of how the GIS vector spatial data model enables various spatial thinking questions to be asked and answered.
Views: 1140 GIS VideosTV
Geographically Weighted Regression
 
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Lecture by Luc Anselin on spatial econometrics (2006)
Views: 5665 GeoDa Software
ArcGIS Maps for Power BI: Analyze Spatially
 
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Visualizing patterns is an important part of analysis. Yet often you must go beyond simple visualizations to detect patterns. When you ask, “Where?” you reveal patterns in your data that you wouldn’t see by looking at raw points, spreadsheets, charts or other tabular information. In this video learn how ArcGIS adds spatial analysis to Microsoft Power BI so you can quickly find and verify patterns in your business data. To learn more about ArcGIS Maps for Power BI visit http://go.esri.com/arcgis-maps-for-power-bi-spatial-analysis
Views: 1556 ArcGIS
The advantages of Spatial Modulation
 
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Prof. Harald Haas describing the principles behind Spatial Modulation along with its advantages over current multiple-input multiple-output (MIMO) systems.
Views: 4884 tryone1000
QGIS Intro 2: Spatial Econometrics: Create a Custom Spatial Data Set
 
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Here we take the next step in our journey toward doping spatial statistics and spatial econometrics: How can you create you own custom spatially-referenced data set? Here we do it using QGIS in no time. In the next video we will do some basic exploration of this spatial data using GEODA (free). Download the Data we used: https://sites.google.com/a/burkeyacademy.com/spatial/home/files/2.0%20QGIS%20Create%20Custom%20Spatial%20Data%20Set.zip?attredirects=0&d=1 My Website: http://www.burkeyacademy.com/ Support me on Patreon! https://www.patreon.com/burkeyacademy Talk to me on my SubReddit: https://www.reddit.com/r/BurkeyAcademy/
Views: 1338 BurkeyAcademy
An Integrative Platform for Three-dimensional Quantitative Analysis of Spatially Heterogeneous
 
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An Integrative Platform for Three-dimensional Quantitative Analysis of Spatially Heterogeneous Metastasis Landscapes. Ian H. Guldner et al (2016), Scientific Reports http://dx.doi.org/10.1038/srep24201 Metastatic microenvironments are spatially and compositionally heterogeneous. This seemingly stochastic heterogeneity provides researchers great challenges in elucidating factors that determine metastatic outgrowth. Herein, we develop and implement an integrative platform that will enable researchers to obtain novel insights from intricate metastatic landscapes. Our two-segment platform begins with whole tissue clearing, staining, and imaging to globally delineate metastatic landscape heterogeneity with spatial and molecular resolution. The second segment of our platform applies our custom-developed SMART 3D (Spatial filtering-based background removal and Multi-chAnnel forest classifiers-based 3D ReconsTruction), a multi-faceted image analysis pipeline, permitting quantitative interrogation of functional implications of heterogeneous metastatic landscape constituents, from subcellular features to multicellular structures, within our large three-dimensional (3D) image datasets. Coupling whole tissue imaging of brain metastasis animal models with SMART 3D, we demonstrate the capability of our integrative pipeline to reveal and quantify volumetric and spatial aspects of brain metastasis landscapes, including diverse tumor morphology, heterogeneous proliferative indices, metastasis-associated astrogliosis, and vasculature spatial distribution. Collectively, our study demonstrates the utility of our novel integrative platform to reveal and quantify the global spatial and volumetric characteristics of the 3D metastatic landscape with unparalleled accuracy, opening new opportunities for unbiased investigation of novel biological phenomena in situ.
Views: 27 ScienceVio
Local Indicators of Spatial Association (LISA)
 
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Luc Anselin Lecture (2007)
Views: 2661 GeoDa Software
Spatial Analysis for Urban Planning Demo
 
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See how new regression analysis tools in ArcGIS 9.3 allow planners to discover relationships key to predicting urban growth. Recorded at the 2008 ESRI International User Conference.
Views: 33584 esri
Spatially resolved analysis of structure perturbations in a plastically bent crystal - SI Video 4
 
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Title: Supplementary movie 4 From: Manas K. Panda, Soumyajit Ghosh, Nobuhiro Yasuda, Taro Moriwaki, Goutam Dev Mukherjee, C. Malla Reddy andPanče Naumov, Spatially Resolved Analysis of Short-Range Structure Perturbations in a Plastically Bent Molecular Crystal. Nature Chemistry, 2015, 7 65—72 Link to the article: https://www.nature.com/articles/nchem.2123 Naumov Research Group - New York University Abu Dhabi https://nyuad.nyu.edu/en/research/centers-labs-and-projects/naumov-group.html
GIS Spatial Analyst Tutorial using John Snow's Cholera Data
 
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Spatial Analyst Tutorial using John Snow's Cholera Data. This tutorial walks you through the basics of how to create a kernel density surface using ArcGIS Spatial Analyst. To see the cholera data in 3D Analyst / ArcScene, you can watch the 3D Analyst tutorial here: http://www.youtube.com/watch?v=Nun95_cQzBg Want to work with the John Snow cholera data yourself? For a similar dataset see: http://www.library.yale.edu/MapColl/files/data/EX_02_Snow_Map.zip
Views: 88081 Chris Goranson
Spatio Temporal Analysis of Socioeconomic Neighborhoods | SciPy 2018 | Rey, Knapp, Wolf...
 
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The neighborhood effects literature represents a wide span of the social sciences broadly concerned with the influence of spatial context on social processes. From the study of segregation dynamics, the relationships between the built environment and health outcomes, to the impact of concentrated poverty on social efficacy, neighborhoods are a central construct in empirical work. From a dynamic lens, neighborhoods experience changes not only in their socioeconomic composition, but also in spatial extent; this latter source of change, however, has been largely neglected in the extant literature. In this paper, we discuss the development of novel, spatially explicit approaches to the study of longitudinal neighborhood dynamics using the scientific Python ecosystem. See the full SciPy 2018 playlist at https://www.youtube.com/playlist?list=PLYx7XA2nY5Gd-tNhm79CNMe_qvi35PgUR
Views: 378 Enthought
Week 6: Local Spatial Autocorrelation
 
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Recorded lecture by Luc Anselin at the University of Chicago (November 2017).
Views: 928 GeoDa Software
Spatial Autocorrelation
 
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Lecture by Luc Anselin at the University of Chicago (October 2016). Updated version with fixed sound here: https://youtu.be/VX-6OthpETE
Views: 5201 GeoDa Software
Week 5: Global Spatial Autocorrelation
 
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Recorded lecture by Luc Anselin at the University of Chicago (October 2017).
Views: 938 GeoDa Software
Film psychology THE SHINING spatial awareness and set design 2of2
 
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UPDATE 2017 RE: ADDITIONAL CONTENT. I have almost ten hours worth of unlisted Youtube videos that can only be viewed via their links on my website (those videos don’t appear publicly on my channel or in Youtube searches, but are still to free to watch). I no longer sell DVD sets, instead I sell digital downloads on my site – quicker and cheaper (dozens of hours worth of extra content, the bulk of my work). I also have a Patreon account for folks who are interesting in crowd-funding future videos and accessing more exclusive content. If you follow me on Facebook and Twitter you can get updates about the latest special offers and frebies. All links below. WEBSITE: http://www.collativelearning.com/ PATREON: https://www.patreon.com/RobAger FACEBOOK: https://en-gb.facebook.com/RobAgerpublic/ TWITTER: https://twitter.com/RobAger?ref_src=twsrc%5Egoogle%7Ctwcamp%5Eserp%7Ctwgr%5Eauthor How Stanley Kubrick used Escher-styled spacial awareness & set design anomalies to disorientate viewers of his horror classic The Shining. This is a must for serious Kubrick fans and psychology students. Written, narrated and edited by Rob Ager
Views: 257573 Collative Learning
How to use spatial adjustment tool in ArcGIS
 
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Spatial adjustment tool is a powerful tool in ArcGIS. It re-projects vector data. by this tool vector data can be re-projected. In this video I will show you how to geo correct or re-project vector data in ArcGIS. how to reproject vector data in arcgis how to reproject vector data in arcmap how to geo correct vector data in arcgis how to geo correct vector data in arcmap how to georeference vector data in arcgis how to georeference vector data in arcmap
Views: 8337 Salauddin Rubel
Spatially resolved analysis of structure perturbations in a plastically bent crystal - SI Video 1
 
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Title: Supplementary movie 1 From: Manas K. Panda, Soumyajit Ghosh, Nobuhiro Yasuda, Taro Moriwaki, Goutam Dev Mukherjee, C. Malla Reddy andPanče Naumov,  Spatially Resolved Analysis of Short-Range Structure Perturbations in a Plastically Bent Molecular Crystal.  Nature Chemistry, 2015, 7 65—72 Link to the article: https://www.nature.com/articles/nchem.2123 Naumov Research Group - New York University Abu Dhabi https://nyuad.nyu.edu/en/research/centers-labs-and-projects/naumov-group.html
GIS and Spatial Analysis
 
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Luc Anselin's lecture on Geographic Information Systems (GIS) and spatial analysis (2006)
Views: 4510 GeoDa Software
Spatially resolved analysis of structure perturbations in a plastically bent crystal - SI Video 3
 
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Title: Supplementary movie 3 From: Manas K. Panda, Soumyajit Ghosh, Nobuhiro Yasuda, Taro Moriwaki, Goutam Dev Mukherjee, C. Malla Reddy andPanče Naumov, Spatially Resolved Analysis of Short-Range Structure Perturbations in a Plastically Bent Molecular Crystal. Nature Chemistry, 2015, 7 65—72 Link to the article: https://www.nature.com/articles/nchem.2123 Naumov Research Group - New York University Abu Dhabi https://nyuad.nyu.edu/en/research/centers-labs-and-projects/naumov-group.html
Geographic Weighted Regression on 911 phone calls
 
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In this tutorial, 911 phone calls for Portland Oregon are analyzed in comparison to US Census Tracks with ArcGIS 10.1. A Geographic Weighted Regression (GWR) is used to compare multiple variables, and a multi-variable GWR is performed to predicate 911 call volumes based on population projections. This lab uses Moran's I Spatial Autocorrelation, Ordinary Least Squares (OLS), and GWR to do a full analysis on the simple dataset walking through all the steps one would use when thinking of applying GWR. This lab is based on ESRI spatial lab on GWR. https://southwesterngis.blogspot.com Dataset =https://www.dropbox.com/s/8c2jfcs8d82emoc/Lab_GWR.zip?dl=0
Chapter 1, Section 1.1 -Thinking Spatially
 
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Geographers use spatial thinking to study the location of places and the people who live there.
Views: 39 Dave Moak
RAMPARTS: Supporting Sensemaking with Spatially-Aware Mobile Interactions
 
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RAMPARTS: Supporting Sensemaking with Spatially-Aware Mobile Interactions Paweł W Woźniak, Nitesh Goyal, Przemysław Kucharski, Lars Lischke, Sven Mayer, Morten Fjeld Abstract: Synchronous colocated collaborative sensemaking requires that analysts share their information and insights with each other. The challenge is to know when is the right time to share what information without disrupting the present state of analysis. This is crucial in ad-hoc sensemaking sessions with mobile devices because small screen space limits information display. To address these tensions, we propose and evaluate RAMPARTS - a spatially aware sensemaking system for collaborative crime analysis that aims to support faster information sharing, clue-finding, and analysis. We compare RAMPARTS to an interactive tabletop and a paper-based method in a controlled laboratory study. We found that RAMPARTS significantly decreased task completion time compared to paper, without affecting cognitive load or task completion time adversely compared to an interactive tabletop. We conclude that designing for ad-hoc colocated sensemaking on mobile devices could benefit from spatial awareness. In particular, spatial awareness could be used to identify relevant information, support diverse alignment styles for visual comparison, and enable alternative rhythms of sensemaking. ACM DL: http://dl.acm.org/citation.cfm?id=2858491 DOI: http://dx.doi.org/10.1145/2858036.2858491 ------ https://chi2016.acm.org/wp/
Views: 516 ACM SIGCHI
GIS Tutorial: How to perform a spatial join in ArcMap
 
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Instructions on how to perform a spatial join using ArcGIS 9.3., and why spatial joins are useful. Lecture review tutorial videos from Hunter College and Mount Sinai School of Medicine (NYC) GIS in Public Health (PH 770.07), and (MPH-0005).
Views: 67564 Chris Goranson
Spatially Meaning
 
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Video is created with the help of wikipedia, if you are looking for accurate, professional translation services and efficient localization you can use Universal Translation Services https://www.universal-translation-services.com?ap_id=ViragGNG Video shows what spatially means. With reference to space or arrangement in space.. Spatially Meaning. How to pronounce, definition audio dictionary. How to say spatially. Powered by MaryTTS, Wiktionary
Views: 237 ADictionary
26 September 2014  Spatial Analysis Functionality & Tools By Ms  Vandita Srivastava
 
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26 September 2014 Spatial Analysis Functionality & Tools By Ms Vandita Srivastava
Esri UC 2010 Lightning Talks: Teach Your Child to Think Spatially
 
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The 2006 NGS report that half of the 18-24 year old Americans could not locate New York on a map of the United States is horrifying. As GIS professionals, we can help to teach children to love maps and develop projects that use color and patterns to do simple geospatial analysis. For more information visit http://www.esri.com/
Views: 413 esri
Spatially Quantifying Ecosystem Services
 
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Presenter: Gary Johnson, Jr. Service Path Attribution Networks (SPANs): Spatially Quantifying Ecosystem Service Flows 2/25/2011 Gary Johnson is a Ph.D. candidate in Computer Science at the University of Vermont. He currently works as a research assistant under Dr. Ferdinando Villa at the Gund Institute's Ecoinformatics Collaboratory, where he is one of the primary technical developers of the NSF-funded ARIES (ARtificial Intelligence for Ecosystem Services) project. Gary's current working thesis title is "Decision Support Systems for Modelling Ecosystem Service Tradeoffs under Uncertainty" This event is part of the weekly Gund Tea Series, an opportunity for affiliates of the Gund Institute for Ecological Economics and the broader University community to engage in robust discussion about topical research, current events, and relevant theory. The Teas host visiting scholars and research associates from around the world, as well as some of the Gund's very own fellows & students. A Production of the Gund Institute for Ecological Economics, an affiliate of the Rubenstein School for Environment & Natural Resources at the University of Vermont The Gund Institute is a transdisciplinary research, teaching, and service organization focused on developing integrative solutions to society's most pressing problems. We conduct integrative research and service-learning projects on a broad range of topics, offer hands-on learning through our problem-solving workshops and courses, develop online teaching resources and international collaborations through metacourses, and support professional and graduate education through our Graduate Certificates in Ecological Economics and Ecological Design. Learn more about the Gund community of students, scholars and practitioners by exploring our news, publications, and video archives, then contact us to help us build a sustainable, widely shared quality of life. For more information visit: uvm.edu/​giee/
Views: 1149 GundInstitute
Topobase Forms  Spatial Filter
 
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How to spatially filter for features using Topobase Forms and how to manage filters. http://topobaseinsiders.typepad.com/
Views: 1140 Autodesk
Spatial BigData Analysis Platform(English subtitle) 3m30s
 
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What is Spatial Big Data? Ministry of Land, Infrastructure, and Transport made a promotional video clip to give information about Spatial BigData Platform
Views: 94 Sunghwan Cho
Spatial Modulation for Generalized MIMO: Challenges, Opportunities and Implementation
 
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This video provides an introductory description of the paper: M. Di Renzo, H. Haas, A. Ghrayeb, S. Sugiura, and L. Hanzo, Spatial Modulation for Generalized MIMO: Challenges, Opportunities and Implementation", Proceedings of the IEEE, October 2013 (to appear). The .pdf of the paper and of the related presentation slides are available for download from: http://hal.archives-ouvertes.fr/index.php?view_this_doc=hal-00840278&extended_view=1&version=2&halsid=k7080e19cf8ge7jbm16q19hec3. A key challenge of future mobile communications research is to strike an attractive compromise between wireless network's area spectral-efficiency and energy-efficiency. This necessitates a clean-slate approach to wireless system design, embracing the rich body of existing knowledge especially on Multiple-Input-Multiple-Output (MIMO) technologies. This motivates the proposal of an emerging wireless communications concept conceived for single-RF large-scale MIMO communications, which is termed as Spatial Modulation (SM). The concept of SM has established itself as a beneficial transmission paradigm, subsuming numerous members of the MIMO system-family. The research of SM has reached sufficient maturity to motivate its comparison to state-of-the-art MIMO communications, as well as to inspire its application to other emerging wireless systems such as relay-aided, cooperative, small-cell, optical wireless and power-efficient communications. Furthermore, it has received sufficient research attention to be implemented in testbeds, and it holds the promise of stimulating further vigorous inter-disciplinary research in the years to come. This tutorial paper is intended to offer a comprehensive state-of-the-art survey on SM-MIMO research, to provide a critical appraisal of its potential advantages, and to promote the discussion of its beneficial application areas and their research challenges leading to the analysis of the technological issues associated with the implementation of SM-MIMO. The paper is concluded with the description of the world's first experimental activities in this vibrant research field.
Views: 7323 MarcoDiRenzo1978
mapping history tutorial | spatial simulation analysis
 
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How to spatially backcast historical land use trajectory and natural disturbance. Create your own time machine to explore the past. Use the ALCES model to visualize and quantify historical change on a landscape for your Cumulative Effects analysis.
Views: 12 Barry J Wilson

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