Renan Xavier Cortés
Biographic Data
| ID | 1794774 |
|---|---|
| NAME | Renan Xavier Cortés |
| GIVEN NAMES | Renan Xavier |
| FAMILY NAME | Cortés |
| SIGNATURE | CORTES R X |
| AFFILIATIONS | Center for Geospatial Sciences University of California Riverside CA |
| ORCID | 0000-0002-1889-5282 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 6 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2022 |
| H-INDEX | 1 |
The PySAL Ecosystem
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction t…
A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains
Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analys…
Faith and religious attendance in Brazil
One of the most interesting rational religious choice models is that presented by Durkin and Greeley in a 1991 article. The authors base the problem of uncertainty of religious choice on Pascal's Wager as a maximization problem of expected benefit and in faith as an insurance. The objective of the present article is to test the Durkin and Greeley hypothesis model for Brazil. Two dependent variables were used in the tests: religious attendance and…
Bias of using odds ratio estimates in multinomial logistic regressions to estimate relative risk or prevalence ratio and alternatives
Recent studies have emphasized that there is no justification for using the odds ratio (OR) as an approximation of the relative risk (RR) or prevalence ratio (PR). Erroneous interpretations of the OR as RR or PR must be avoided, as several studies have shown that the OR is not a good approximation for these measures when the outcome is common (> 10%). For multinomial outcomes it is usual to use the multinomial logistic regression. In this context…
Bias of using odds ratio estimates in multinomial logistic regressions to estimate relative risk or prevalence ratio and alternatives
Recent studies have emphasized that there is no justification for using the odds ratio (OR) as an approximation of the relative risk (RR) or prevalence ratio (PR). Erroneous interpretations of the OR as RR or PR must be avoided, as several studies have shown that the OR is not a good approximation for these measures when the outcome is common (> 10%). For multinomial outcomes it is usual to use the multinomial logistic regression. In this context…
Faith and religious attendance in Brazil
One of the most interesting rational religious choice models is that presented by Durkin and Greeley in a 1991 article. The authors base the problem of uncertainty of religious choice on Pascal's Wager as a maximization problem of expected benefit and in faith as an insurance. The objective of the present article is to test the Durkin and Greeley hypothesis model for Brazil. Two dependent variables were used in the tests: religious attendance and…
Bias of using odds ratio estimates in multinomial logistic regressions to estimate relative risk or prevalence ratio and alternatives
Recent studies have emphasized that there is no justification for using the odds ratio (OR) as an approximation of the relative risk (RR) or prevalence ratio (PR). Erroneous interpretations of the OR as RR or PR must be avoided, as several studies have shown that the OR is not a good approximation for these measures when the outcome is common (> 10%). For multinomial outcomes it is usual to use the multinomial logistic regression. In this context…
Faith and religious attendance in Brazil
One of the most interesting rational religious choice models is that presented by Durkin and Greeley in a 1991 article. The authors base the problem of uncertainty of religious choice on Pascal's Wager as a maximization problem of expected benefit and in faith as an insurance. The objective of the present article is to test the Durkin and Greeley hypothesis model for Brazil. Two dependent variables were used in the tests: religious attendance and…
A Visual Analytics System for Space–Time Dynamics of Regional Income Distributions Utilizing Animated Flow Maps and Rank‐based Markov Chains
Regional income convergence and divergence has been an active field of research for more than 20 years, and research papers in this field are still being produced at a prodigious rate. Despite their importance for the study of dynamics of income distribution, interactive visualization tools revealing spatiotemporal dimensions of the income data have been sparsely developed. This study introduces a visual analytics system for the space–time analys…
The PySAL Ecosystem
PySAL is a library for geocomputation and spatial data science. Written in Python, the library has a long history of supporting novel scholarship and broadening methodological impacts far afield of academic work. Recently, many new techniques, methods of analyses, and development modes have been implemented, making the library much larger and more encompassing than that previously discussed in the literature. As such, we provide an introduction t…
Computer Science (2 works) · Data science (2 works) · Mathematics (2 works) · Political science (2 works) · Academic library (1 work) · Advanced Causal Inference Techniques (1 work) · Analytics (1 work) · Attendance (1 work) · Binomial regression (1 work) · Biology (1 work)