Hypotheses
- Use of intensive agriculture will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Mountainous terrain will have a positive association with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Environmental productivity will be positively associated with land ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Nearest neighbor's property system will have a positive association with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Reliance on domestication will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Coastal distance will be negatively associated with property ownership.Kavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Unpredictability of resources will be negatively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Political complexity will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Permanency of settlement patterns will be positively associated with land ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author - Population density will be positively associated with property ownershipKavanaugh, Patrick - Drivers of global variation in land ownership, 2021 - 2 Variables
Using multiple logistic regression, the researchers compare the relative strength of predictors of land ownership across 102 societies. The analysis finds significant predictive power in factors such as neighbors' property system, population density, and geography.
Related Hypotheses Cite More By Author