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This activity uses Map Viewer. ResourcesMapTeacher guide Student worksheetGet startedOpen the map.Use the teacher guide to explore the map with your class or have students work through it on their own with the worksheet.New to GeoInquiriesTM? See Getting to Know GeoInquiries.StandardsCCSS: MATH.CONTENT.HSF.LE.A.1 – Distinguish between situations that can be modeled with linear functions and with exponential functions.CCSS: MATH.CONTENT.HSF.IF.B.4 – For a function that models a relationship between two quantities, interpret key features of graphs & tables in terms of the quantities, & sketch graphs showing key features given a verbal description of the relationship.Learning outcomesStudents will investigate rates of population growth and decline. Students will compare linear and exponential growth rates.More activitiesAll Mathematics GeoInquiriesAll GeoInquiries

A discrete mathematical model was developed to study the population dynamics after a time-varying environmental disaster (R4.x261.000:0008). A 5-stage-structure matrix includes parameters for stage-specific survival and transition rates, as well as annual fecundity. This model can be used to examine the sensitivity and elasticity of the model, as well as demographic and environmental stochasticity, and many others.

Investigate rates of population growth and decline with US Census data. THE GEOINQUIRIES™ COLLECTION FOR MATHEMATICShttp://www.esri.com/geoinquiriesThe GeoInquiry™ collection for Mathematics contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory algebra or geometry classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core math national curriculum standards. Activities include:· Rates & Proportions: A lost beach· D=R x T· Linear rate of change: Steady growth· How much rain? Linear equations· Rates of population change· Distance and midpoint· The coordinate plane· Euclidean vs Non-Euclidean· Area and perimeter at the mall· Measuring crop circles· Area of complex figures· Similar triangles· Perpendicular bisectors· Centers of triangles· Volume of pyramids

Teachers, GeoMentors, and school administrators can learn more at http://www.esri.com/geoinquiries.

aThe percentages for each city were computed from [58] using the countr y's percentage of children under 20 years old. Taiwan's percentage was obtained from [59].

THE GEOINQUIRIES™ COLLECTION FOR MATHEMATICS

http://www.esri.com/geoinquiries

The GeoInquiry™ collection for Mathematics contains 15 free, standards-based activities that correspond and extend spatial concepts found in course textbooks frequently used in introductory algebra or geometry classes. The activities use a common inquiry-based instructional model, require only 15 minutes to deliver, and are device/laptop agnostic. Each activity includes an ArcGIS Online map but requires no login or installation. The activities harmonize with the Common Core mathematics national curriculum standards.

All Mathematics GeoInquiries™ can be found at: http://eseriurl.com/mathGeoInquiries

All GeoInquiries™ can be found at: http://www.esri.com/geoinquiries

Embedded Markov chain approximation for linking dynamics. (PDF)

A 5-stage-structured mathematical model (UDI: R4.x261.232:0001) was used to examine the recovery probabilities of a population after a time-varying environmental disaster. As a test case, stage-specific survival and transition rates, and annual fecundity values for the Gulf of Mexico sperm whales were used to model the lethal (reduction in survival rate) and sub-lethal (reduction in fecundity rates) impacts on population survival given demographic stochasticity. This analysis allows for the examination of the relationship between the DWH oil spill and the probability of population recovery to pre-disaster or biologically relevant levels under two conditions: probability of recovery in 10 years or 20 years post-disaster.

Comprehensive population and demographic data for Piara Math Village

BackgroundIn a given population the age pattern of mortality is an important determinant of total number of deaths, age structure, and through effects on age structure, the number of births and thereby growth. Good mortality models exist for most populations except those experiencing generalized HIV epidemics and some developing country populations. The large number of deaths concentrated at very young and adult ages in HIV-affected populations produce a unique ‘humped’ age pattern of mortality that is not reproduced by any existing mortality models. Both burden of disease reporting and population projection methods require age-specific mortality rates to estimate numbers of deaths and produce plausible age structures. For countries with generalized HIV epidemics these estimates should take into account the future trajectory of HIV prevalence and its effects on age-specific mortality. In this paper we present a parsimonious model of age-specific mortality for countries with generalized HIV/AIDS epidemics.Methods and FindingsThe model represents a vector of age-specific mortality rates as the weighted sum of three independent age-varying components. We derive the age-varying components from a Singular Value Decomposition of the matrix of age-specific mortality rate schedules. The weights are modeled as a function of HIV prevalence and one of three possible sets of inputs: life expectancy at birth, a measure of child mortality, or child mortality with a measure of adult mortality. We calibrate the model with 320 five-year life tables for each sex from the World Population Prospects 2010 revision that come from the 40 countries of the world that have and are experiencing a generalized HIV epidemic. Cross validation shows that the model is able to outperform several existing model life table systems.ConclusionsWe present a flexible, parsimonious model of age-specific mortality for countries with generalized HIV epidemics. Combined with the outputs of existing epidemiological and demographic models, this model makes it possible to project future age-specific mortality profiles and number of deaths for countries with generalized HIV epidemics.

Comprehensive population and demographic data for Math Balgobind Urf Mathia Village

The portion of the budget, consumed by defectors is and the relative amount spent for regulators is . Countries are classified according to their distance from equilibrium defined by expression (46).

Comparison of observation and reaction times of ML-fit and derived bounds from Digg and Twitter dataset.

We model a mobile population interacting over an underlying spatial structure using a Markov movement model. Interactions take the form of public goods games, and can feature an arbitrary group size. Individuals choose strategically to remain at their current location or to move to a neighbouring location, depending upon their exploration strategy and the current composition of their group. This builds upon previous work where the underlying structure was a complete graph (i.e. there was effectively no structure). Here, we consider alternative network structures and a wider variety of, mainly larger, populations. Previously, we had found when cooperation could evolve, depending upon the values of a range of population parameters. In our current work, we see that the complete graph considered before promotes stability, with populations of cooperators or defectors being relatively hard to replace. By contrast, the star graph promotes instability, and often neither type of population can resist replacement. We discuss potential reasons for this in terms of network topology.

The code in this replication package contains the data and code used for the implementation and analysis of the case study presented in the paper "Catastrophe risk in a stochastic multi-population mortality model". The data sets used in this paper are publicly available from the Human Mortality Database and Eurostat. The code is written in R and can be accessed and downloaded for further reference and replication of the obtained results.

The repository contains the following files:

• "Research_Data" -> Data of our research trial
• "RESULTS_testequating" -> output of the procedure of test equating implemented using JMetrik
• "results41_CTonCN" -> Results of the Rasch Model implemented using ConQuest considering the 41 items of the CoreTest on the National Population Survey
• "results41_CTonER" -> Results of the Rasch Model implemented using ConQuest considering the 41 items of the CoreTest on the Emilia Romagna regional Population
• "results41_CTonP" -> Results of the Rasch Model implemented using ConQuest considering the 41 items of the CoreTest on our entire reserch population
• "results41_CTonPV" -> Results of the Rasch Model implemented using ConQuest considering the 41 items of the CoreTest on our reserch population who answered to the varied form of the test
• "results41_CTonPO" -> Results of the Rasch Model implemented using ConQuest considering the 41 items of the CoreTest on our reserch population who answered to the original form of the test
• "resultsINVALSI_OriginalTest" -> Results of the Rasch Model implemented using ConQuest considering the INVALSI test on on the National Population Survey
• "resultsO_TOonPo" -> Results of the Rasch Model implemented using ConQuest considering the whole original test on our reserch population who answered to the original form of the test
• "resultsV_TVonPV" -> Results of the Rasch Model implemented using ConQuest considering the whole varied test on our reserch population who answered to the original form of the test

For all the results files we can also make available the related "summary" file, containing the summary of the estimation parameters (conquest output).

Comprehensive population and demographic data for Daini Math Village

no abstract provided

Comprehensive population and demographic data for Banwan Goshain Math Village

Comprehensive population and demographic data for Gopla Math Village

Comprehensive population and demographic data for Math Usarsanda Village