Hypotheses
- 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - 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.
Related Hypotheses Cite More By Author - Linguistic diversity will be predicted by some of 14 environmental variables across continental regions universally (2).Axelsen, Jacob Bock - River density and landscape roughness are universal determinants of linguist..., 2014 - 15 Variables
The authors investigate the relationship between linguistic diversity and various environmental and spatial variables associated with biodiversity. Most of these variables predict linguistic diversity variably across different continents, and more so within Africa and extended Asia (Asia, the Pacific, and Australia) than within Europe and the Americas. This divide is theorized to be a result of differences in demography and impact of colonialism between the two global regions. However, two environmental factors, landscape roughness and density of river systems, are found to be significant predictors across all global regions. The authors suggest that, as in processes of speciation, rough terrain and watercourses both create physical barriers between which languages can develop in isolation while, in the case of river junctions, also providing transportation routes whereby hybrid languages can occasionally manifest.
Related Hypotheses Cite More By Author - A larger number of individuals (greater population density) is positively correlated with a greater accumulation of languages (greater language diversity) (3).Coelho, Marco Túlio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables
Researchers investigated further into why and how humans speak so many languages across the globe, and why they are spread out unevenly. Using two different path analyses, a Stationary Path analysis and a GWPath, researchers tested the effect of eight different factors on language diversity. Out of the eight variables (river density, topographic complexity, ecoregion richness, temperature and precipitation constancy, climate change velocity, population density, and carrying capacity with group size limits), population density, carrying capacity with group size limit, and ecoregion richness had the strongest direct effects. Overall, the study revealed the role of multiple different mechanisms in shaping language richness patterns. The GWPath showed that not only does the most important predictor of language diversity vary over space, but predictors can also vary in the direction of their effects in different regions. They conclude that there is no universal predictor of language richness.
Related Hypotheses Cite More By Author - Higher potential carrying capacity with limits on group size is positively correlated with greater language diversity (4).Coelho, Marco Túlio Pacheco - Drivers of geographical patterns of North American language diversity, 2019 - 2 Variables
Researchers investigated further into why and how humans speak so many languages across the globe, and why they are spread out unevenly. Using two different path analyses, a Stationary Path analysis and a GWPath, researchers tested the effect of eight different factors on language diversity. Out of the eight variables (river density, topographic complexity, ecoregion richness, temperature and precipitation constancy, climate change velocity, population density, and carrying capacity with group size limits), population density, carrying capacity with group size limit, and ecoregion richness had the strongest direct effects. Overall, the study revealed the role of multiple different mechanisms in shaping language richness patterns. The GWPath showed that not only does the most important predictor of language diversity vary over space, but predictors can also vary in the direction of their effects in different regions. They conclude that there is no universal predictor of language richness.
Related Hypotheses Cite More By Author