Found 1773 Hypotheses across 178 Pages (0.007 seconds)
  1. The proposed simulation model predicts the spatial richness of languages.Gavin, Michael C. - Process‐based modelling shows how climate and demography shape language dive..., 2017 - 0 Variables

    Researchers examined both why so many language are spoken today, and why they are so unevenly distributed geographically. Instead of looking at correlative tests, this study uses a process-based simulation model that attempted to predict both the number or precolonial languages in Australia as well as the number of languages per unit of land. The model was based upon three basic assumptions: 1) humans fill unoccupied spaces; 2) rainfall limits population density; 3) groups divide after reaching a maximum population. While researchers used the model strictly on the Australia continent, it was able to correctly explain 56% of spatial variation in language richness, and predict the total number of languages across the continent. The accuracy of this model concludes that climatic conditions and changes in group size are important factors in shaping language diversity patterns and therefore global human cultural diversity.

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  2. Climate change velocity will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  3. Precipitation constancy will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  4. River density, ecoregion richness, topographic complexity, climate change velocity, precipitation constancy, and temperature constancy all help explain variation in population density.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 7 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  5. River density will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  6. Ecoregion richness will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  7. Topographic complexity will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  8. Population density will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  9. Carrying capacity with group size limits will be a predictor of language diversity in North America.Cuelho, Mario Tulio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables

    The authors examine multiple ecological variables as possible predictors of language diversity in North America using path analysis, mechanistic simulation modelling, and geographically weighted regression. They conclude that many of the variables do not predict language diversity, but rather are mediated by population density. The authors also find that the variables' ability to predict is not universal across the continent, but rather more regional.

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  10. Moralizing high gods are most likely to be found in ecologically inhospitable and unpredictable environments, in politically complex societies, in societies near (or linguistically related to) other societies with high gods, and in societies with animal husbandry and/or agriculture.Botero, Carlos A. - The ecology of religious beliefs, 2014 - 8 Variables

    Belief in moralizing high gods (MHGs) has been theorized as a response to unfavorable environments, as a way to normalize behavior. In this study, researchers test the theory by creating a model for predicting the distribution of MHGs. They run many alternative models, testing the effects of resource abundance, climate stability, and pertinent social factors on the occurrence of belief in MHGs. Based on the ten most supported models, they create an average model that predicts MHGs within cultures with “excellent” accuracy.

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