This data archive includes all of the results from the models used to produce the paper "Crop switching reduces agricultural losses from climate change in the United States by half". It contains three main archives: 1. predictors.zp: The temperature and water stress indicators for each crop, along with county-level log-yields. Both the Bayesian and OLS models are fit to this data. Static covariates are available in us-bioclims-new.csv. 2. mcmc-outputs.zip: Each of the variables fit in the Bayesian model, for each MCMC draw from the posterior distribution. The contained directory includes for each crop versions with constant variance (-variance) and under cross-validation (-cv). The counties are ordered according to fips-usa.csv. 3. landu...
Estimates of climate change impacts on global food production are generally based on statistical or ...
Pervious assessments of crop yield response to climate change are mainly aided with either process-b...
Crop yields are strongly dependent on the average climate, extreme temperatures, and carbon dioxide ...
This data archive includes all of the results from the models used to produce the paper "Crop switch...
A key strategy for agriculture to adapt to climate change is by switching crops and relocating crop ...
Crop yields are strongly dependent on average summertime temperatures and extreme heat waves, both o...
This study relies on the Ricardian method to estimate the damages of climate change to US agricultur...
This repository contains the code used in the analyses performed for "Crop switching reduces agricul...
Climatic variables, temperature and precipitation in particular, play critical roles in water resour...
Climate change is expected to be a significant threat to future agriculture in the United States. Th...
The impact of increasing climate variability on crop yield is now evident. Predicting the potential ...
Recent statistical studies suggest yields for major U.S. food crops will dramatically decrease under...
The impacts of climate change on agriculture depend on local conditions and crops grown. For instanc...
We link farmland values to climatic, soil, and socioeconomic variables for counties east of the 100t...
In this paper, a dynamic optimization model was developed to simulate how farm-level realized price ...
Estimates of climate change impacts on global food production are generally based on statistical or ...
Pervious assessments of crop yield response to climate change are mainly aided with either process-b...
Crop yields are strongly dependent on the average climate, extreme temperatures, and carbon dioxide ...
This data archive includes all of the results from the models used to produce the paper "Crop switch...
A key strategy for agriculture to adapt to climate change is by switching crops and relocating crop ...
Crop yields are strongly dependent on average summertime temperatures and extreme heat waves, both o...
This study relies on the Ricardian method to estimate the damages of climate change to US agricultur...
This repository contains the code used in the analyses performed for "Crop switching reduces agricul...
Climatic variables, temperature and precipitation in particular, play critical roles in water resour...
Climate change is expected to be a significant threat to future agriculture in the United States. Th...
The impact of increasing climate variability on crop yield is now evident. Predicting the potential ...
Recent statistical studies suggest yields for major U.S. food crops will dramatically decrease under...
The impacts of climate change on agriculture depend on local conditions and crops grown. For instanc...
We link farmland values to climatic, soil, and socioeconomic variables for counties east of the 100t...
In this paper, a dynamic optimization model was developed to simulate how farm-level realized price ...
Estimates of climate change impacts on global food production are generally based on statistical or ...
Pervious assessments of crop yield response to climate change are mainly aided with either process-b...
Crop yields are strongly dependent on the average climate, extreme temperatures, and carbon dioxide ...