This document summarizes key concepts from Chapter 4 of an unknown textbook on migration patterns and the gravity model. It defines migration, push and pull factors, and migration streams. It introduces the gravity model, which predicts spatial interaction based on population size and distance. Figures and activities are described to analyze migration data using a scatter diagram and identify outliers and residuals when applying the gravity model.
Presentation from ACM AVI 2012 in Capri, Italy on gravity navigation. Gravity navigation (GravNav) is a family of multi-scale navigation techniques that use a gravity-inspired model for assisting navigation in large visual 2D spaces based on the interest and
salience of visual objects in the space. GravNav is an instance of topology-aware navigation, which makes use of the structure of the visual space to aid navigation. We have performed a controlled study comparing GravNav to standard zoom and pan navigation, with and without variable-rate zoom control. Our results show a significant improvement for GravNav over standard navigation, particularly when coupled with variable-rate zoom. We also report findings on user behavior in multi-scale navigation.
Created in Barrie is a summary of the results of the Culture Market Study of Barrie and Simcoe County. The City of Barrie Department of Culture shared the results at its second annual update to the community and the culture sector. Artists, arts organizations and culture sector workers, patrons and supporters attended this event on Tuesday, March 23rd in Barrie, Ontario, Canada.
Lewis theory, Rani-Fie-Lewis Theory on unlimited supplies of Labour and Todaro Model of Rural Urban Migration are famous theories on Rural_Urban Migration in Development economics
Migration Theories
Ravenstein’s Laws of Migration
Zipf’s Gravity Model
Everett Lee’s Theory of Migration
Push-Pull hypothesis
Lewis-Fei-Ranis Model of Development
Todaro’s Model of Migration
Mobility Field Theory
Presentation from ACM AVI 2012 in Capri, Italy on gravity navigation. Gravity navigation (GravNav) is a family of multi-scale navigation techniques that use a gravity-inspired model for assisting navigation in large visual 2D spaces based on the interest and
salience of visual objects in the space. GravNav is an instance of topology-aware navigation, which makes use of the structure of the visual space to aid navigation. We have performed a controlled study comparing GravNav to standard zoom and pan navigation, with and without variable-rate zoom control. Our results show a significant improvement for GravNav over standard navigation, particularly when coupled with variable-rate zoom. We also report findings on user behavior in multi-scale navigation.
Created in Barrie is a summary of the results of the Culture Market Study of Barrie and Simcoe County. The City of Barrie Department of Culture shared the results at its second annual update to the community and the culture sector. Artists, arts organizations and culture sector workers, patrons and supporters attended this event on Tuesday, March 23rd in Barrie, Ontario, Canada.
Lewis theory, Rani-Fie-Lewis Theory on unlimited supplies of Labour and Todaro Model of Rural Urban Migration are famous theories on Rural_Urban Migration in Development economics
Migration Theories
Ravenstein’s Laws of Migration
Zipf’s Gravity Model
Everett Lee’s Theory of Migration
Push-Pull hypothesis
Lewis-Fei-Ranis Model of Development
Todaro’s Model of Migration
Mobility Field Theory
East Massachusetts Geodemographic ClassificationStas Sushkov
The presentation outlines the process of East Massachusetts Geodemographic Classification design following methodology developed by Dr.Dan Vickers (University of Sheffield).
The last major idea in population dynamics is the idea of a minimum .pdffortmdu
The last major idea in population dynamics is the idea of a minimum threshold for a species in a
habitat. For some species, survival is not possible if the population size gets too small because of
natural interdependence. (Keep in mind that this is over and above the minimum threshold of two
animals required for sexual reproduction.) A differential equation that models that situation is
dN/ dt = rN (1 N/ T )( 1 N/ K) where 0 < T < K. Based on your experiences so far, choose
appropriate values of r, T, and K and plot a slope field. (a) Convince yourself that your slope
field indeed models a population of animals that is subject to a minimum threshold in order to
survive. (b) Describe the stability of each equilibrium you see. (c) Investigate the affect of
harvesting on this population. Explain how harvesting affects the equilibria and include slope
fields to support your answer. (d) Draw a bifurcation diagram and point out the bifurcation point.
What does that mean in terms of harvesting?
Solution
Exponential development is the rate of growth of population in the presence of unlimited
resources. Exponential development is also know as Density independent growth.
dN/dt = rN
dN is the adjustment or change in population measure
\"r\" is rate of increment of population (births-passings)
Logistic growth is the rate of development of populace when resources are constrained. The
growth is named as density dependent growth.
We represent the logistic growth by Sigmoidal or S-formed growth bend or curve.
dN/dt = rN [1-N/K]; where K is the carrying capacity
Carrying capacity is basically the maximum size of the population supported by the environment.
The development in populace stops at K.
The natural or environmental components modify and make the K to change.
a) Natural growth equation more genereally represented as
P(t) = P0 * ert
where P is the populace at given time t and r is the rate of development of populace
Logistic Growth dependably will exist in between carrying capacity, K and it will indicate S
formed development curve while exponential development or growth seems to move higher.
This development pattern is found in populaces that have entry to constrained resources. The
loest populace develops exponentially at first. Be that as it may, when the constrained resources
begin demonstrating their effects the development or growth slows down and achieves a the
carrying capacity or limiting value.
b) Logistic growth demonstrates discrete and continuous development models.
The discrete model demonstrates that populace development is reliant on most extreme rate of
development, carrying capacity, and rate of per-capita increment of the populace. Logistic
growth is ceaseless when the individual imitates at the rate that decreases as a linear function of
size of populace.
Equation for persistent model is dN/dt = r*N (1-N/K)
In populaces that are lower than K will increment in size while that are higher than K will
diminish in size. K will stay stea.
Project #4 Urban Population Dynamics This project will acquaint y.pdfanandinternational01
Project #4: Urban Population Dynamics This project will acquaint you with population
modeling and how linear algebra tools may be used to study it. Background Kolman, pages
305-307. Population modeling is useful from many different perspectives: planners at the city,
state, and national level who look at human populations and need forecasts of populations in
order to do planning for future needs. These future needs include housing, schools, care for the
elderly, jobs, and utilities such as electricity,water and transportation. businesses do population
planning so as to predict how the portions of the population that use their product will be
changing. Ecologists use population models to study ecological systems, especially those where
endangered species are involved so as to try to find measures that will restore the population.
medical researchers treat microorganisms and viruses as populations and seek to understand the
dynamics of their populations; especially why some thrive in certain environments but don\'t in
others. In human situations, it is normal to take intervals of 10 years as the census is taken every
10 years. Thus the age groups would be 0-9,10-19,11-20 etc , so 8 or 9 age categories would
probably be appropriate. The survival fractions would then show the fraction of \"newborns\" (0-
9) who survive to age 10, the fraction of 10 to 19 year olds who survive to 20 etc. This type of
data is compiled, for example, by actuaries working for insurance companies for life and medical
insurance purposes. The basic equations we begin with are (1) x(k+1) = Ax(k) k=0,1,2,. . . and
x(0) given with solution found iteratively to be (2) x(k) = Akx(0) (see Kolman for details of the
structure of A, which is 7 x 7 in this case). Your Project Suppose we are studying the
population dynamics of Los Angeles for the purpose of making a planning proposal to the city
which will form the basis for predicting school, transportation, housing, water, and electrical
needs for the years from 2000 on. As above, we take the unit of time to be 10 years, and take 7
age groups: 0-9,10-19,...,50-59,60+. Suppose further that the population distribution as of 1990
(the last census) is (3.1, 2.8, 2.0, 2.5, 2.0, 1.8, 2.9) (x105 ) and that the Leslie matrix,A, for this
model appears as Part One: Interpret carefully each of the nonzero terms in the matrix. In
addition, indicate what factors you think might change those numbers (they might be social,
economical, political or environmental). Part Two: Predict: what the population distribution
will look like in 2000, 2010, 2020 and 2030 what the total population will be in each of those
years by what fraction the total population changed each year Additionally, what does your
software tell you the largest, positive eigenvalue of A is? Part Three: Decide if you believe the
population is going to zero, becoming stable, or is unstable in the long run. Be sure and describe
in your write up how you arrived at your conclusion. If.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Dev Dives: Train smarter, not harder – active learning and UiPath LLMs for do...UiPathCommunity
💥 Speed, accuracy, and scaling – discover the superpowers of GenAI in action with UiPath Document Understanding and Communications Mining™:
See how to accelerate model training and optimize model performance with active learning
Learn about the latest enhancements to out-of-the-box document processing – with little to no training required
Get an exclusive demo of the new family of UiPath LLMs – GenAI models specialized for processing different types of documents and messages
This is a hands-on session specifically designed for automation developers and AI enthusiasts seeking to enhance their knowledge in leveraging the latest intelligent document processing capabilities offered by UiPath.
Speakers:
👨🏫 Andras Palfi, Senior Product Manager, UiPath
👩🏫 Lenka Dulovicova, Product Program Manager, UiPath
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Key Trends Shaping the Future of Infrastructure.pdfCheryl Hung
Keynote at DIGIT West Expo, Glasgow on 29 May 2024.
Cheryl Hung, ochery.com
Sr Director, Infrastructure Ecosystem, Arm.
The key trends across hardware, cloud and open-source; exploring how these areas are likely to mature and develop over the short and long-term, and then considering how organisations can position themselves to adapt and thrive.
State of ICS and IoT Cyber Threat Landscape Report 2024 previewPrayukth K V
The IoT and OT threat landscape report has been prepared by the Threat Research Team at Sectrio using data from Sectrio, cyber threat intelligence farming facilities spread across over 85 cities around the world. In addition, Sectrio also runs AI-based advanced threat and payload engagement facilities that serve as sinks to attract and engage sophisticated threat actors, and newer malware including new variants and latent threats that are at an earlier stage of development.
The latest edition of the OT/ICS and IoT security Threat Landscape Report 2024 also covers:
State of global ICS asset and network exposure
Sectoral targets and attacks as well as the cost of ransom
Global APT activity, AI usage, actor and tactic profiles, and implications
Rise in volumes of AI-powered cyberattacks
Major cyber events in 2024
Malware and malicious payload trends
Cyberattack types and targets
Vulnerability exploit attempts on CVEs
Attacks on counties – USA
Expansion of bot farms – how, where, and why
In-depth analysis of the cyber threat landscape across North America, South America, Europe, APAC, and the Middle East
Why are attacks on smart factories rising?
Cyber risk predictions
Axis of attacks – Europe
Systemic attacks in the Middle East
Download the full report from here:
https://sectrio.com/resources/ot-threat-landscape-reports/sectrio-releases-ot-ics-and-iot-security-threat-landscape-report-2024/
UiPath Test Automation using UiPath Test Suite series, part 3DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 3. In this session, we will cover desktop automation along with UI automation.
Topics covered:
UI automation Introduction,
UI automation Sample
Desktop automation flow
Pradeep Chinnala, Senior Consultant Automation Developer @WonderBotz and UiPath MVP
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
2. Places are connected through spatial interaction ideas information money products people (p. 88)
3. Figure 4.1 (p. 89) Migration A permanent change in residence to outside one’s community of origin. Occurs at various spatial scales: rural-to-urban urban-to-urban global (between countries)
4. Factors of Place Desirability (p. 88) Less-desirable places More-desirable places
6. refugees immigrate unwillingly due to persecution in their home country (a PUSH factor ) PUSH factors PULL factors other better job pleasant physical setting affordable housing desirable climate proximity to family high housing costs traffic gridlock rising crime rates high tax rates poor climate undesirable job
10. Migration Streams & Counterstreams Figure 4.5 (p. 93) Ten Largest Domestic Migration Streams of Persons Born in Cuba Ten Largest Domestic Migration Streams of Persons Born in Mexico
13. Mobility • Part of American experience • Mobility is high in developed countries with immigrant background • Migration in the past as a predictor of future migration .
17. • Regional and sub-regional shifts in population • Net migration • Migration patterns reflect: - location of states - historical patterns of movement - changing economic geography - perceptions about places
19. A person who is outside his or her country due to a well-founded fear of persecution and who is unable or unwilling to return. Refugee A permanent change in residence to outside one’s community of origin. Migration A move across international borders. Movements of ideas, information, money, products, and people between places. Spatial Interaction Immigration A well-defined migration channel from a specific origin to a particular destination. Migration Stream Migration that runs opposite to a migration stream. Migration Counterstream
20. Reasons to move from a particular place. Push Factors Reasons to move to a particular place. Pull Factors The percentage gain or loss of population due to migration. It is calculated as in-migrants minus out-migrants divided by the total population, all times 100. Positive numbers indicate net gain; negative numbers indicate net loss. Net Migration Rate The tendency for certain types of people to migrate. Age, education, and other sociodemographic characteristics are ________ ________ factors. Migration Selectivity Money sent by immigrants from host country to home country. Remittances
21. A point on a scatter diagram that is roughly in line with the main trend but is separated from the main group of points because of its very high or low value. Extreme Value A scatter of dots showing the relationship between two variables. Each dot on the graph represents the x and y coordinates of a different observation or case. Scatter Diagram A model to predict spatial interaction, where size (population) is directly related to interaction and distance is inversely related to interaction. Gravity Model
22. The declining intensity of an activity with increasing distance from its point of origin. Distance Decay The difference between an actual observed value of some variable and its predicted value using the gravity model. Residuals Point on a scatter diagram that lies far off the trend line. ________ on the graph correspond to cases that are poorly predicted by the model. ________ are not to be confused with extreme values, which may lie far from any other point but which are still close to the best-fitting line. Outlier
24. After completing this chapter, you will be able to: • Apply principles of spatial interaction to patterns of movement. • Identify the major source areas for migration to your state. • Use functions of a spreadsheet. • Produce and interpret a scatter diagram. • Discriminate between positive and negative residuals. • Identify outliers on a scatter diagram. • Think critically about models in human geography.
