Ana C Teodoro
Biographic Data
| ID | 7457499 |
|---|---|
| NAME | Ana C Teodoro |
| GIVEN NAMES | Ana C |
| FAMILY NAME | Teodoro |
| SIGNATURE | TEODORO A C |
| AFFILIATIONS | Universidade do Porto |
| ORCID | 0000-0002-8043-6431 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 6 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Study Area Map Generator
The increasing demand for high-quality geospatial visualizations in scientific publications has highlighted the need for accessible and standardized tools that support reproducible research. Researchers from various disciplines—often without expertise in Geographic Information Systems (GIS)—frequently require a map figure to locate their study area. This paper presents the Study Area Map Generator, a web-based application developed using Shiny fo…
Social Vulnerability of Brazilian Metropolitan Schools and Teachers’ Absence from Work Due to Vocal and Psychological Symptoms
Teachers' voices and psychological symptoms are the main reasons for absence from work. The objectives of this study were: (i) to spatially represent, through a webGIS, the standardized rates of teachers' absences due to voice (outcome 1) and psychological symptoms (outcome 2) in each Brazilian Federative Unit (FU = 26 states plus Federal District) and (ii) to analyze the relationship between each national outcome rate and the Social Vulnerabilit…
Evaluation of Spatial Thinking Ability Based on Exposure to Geographical Information Systems (GIS) Concepts in the Context of Higher Education
(1) Background: spatial thinking is indirectly applied in numerous daily activities (e.g., when defining the route when going to school/work) or in scientific areas (e.g., predicting the spatial–temporal spread of contagious diseases), and its ability might be improved using geographical information systems (GIS). The main objective of this study was to perform an analysis of the spatial thinking of students in two curricular units (CUs) that had…
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a result, developing gully erosion susceptibility maps (GESM) is both suggested and necessary. In this study, we compared the effectiveness of three hybrid machine learning (ML) algorithms with the…
An Open Source GIS Application for Spatial Assessment of Health Care Quality Indicators
Prevention quality indicators (PQIs) constitute a set of measures that can be combined with hospital inpatient data to identify the quality of care for ambulatory care sensitive conditions (ACSC). Geographical information system (GIS) web mapping and applications contribute to a better representation of PQI spatial distribution. Unlike many countries in the world, in Portugal, this type of application remains underdeveloped. The main objective of…
Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
No prominent works on this page.
Spatial estimation of chronic respiratory diseases based on machine learning procedures—an approach using remote sensing data and environmental variables in quito, Ecuador
An Open Source GIS Application for Spatial Assessment of Health Care Quality Indicators
Prevention quality indicators (PQIs) constitute a set of measures that can be combined with hospital inpatient data to identify the quality of care for ambulatory care sensitive conditions (ACSC). Geographical information system (GIS) web mapping and applications contribute to a better representation of PQI spatial distribution. Unlike many countries in the world, in Portugal, this type of application remains underdeveloped. The main objective of…
Evaluation of Spatial Thinking Ability Based on Exposure to Geographical Information Systems (GIS) Concepts in the Context of Higher Education
(1) Background: spatial thinking is indirectly applied in numerous daily activities (e.g., when defining the route when going to school/work) or in scientific areas (e.g., predicting the spatial–temporal spread of contagious diseases), and its ability might be improved using geographical information systems (GIS). The main objective of this study was to perform an analysis of the spatial thinking of students in two curricular units (CUs) that had…
Hybrid Machine Learning Approach for Gully Erosion Mapping Susceptibility at a Watershed Scale
Gully erosion is a serious threat to the state of ecosystems all around the world. As a result, safeguarding the soil for our own benefit and from our own actions is a must for guaranteeing the long-term viability of a variety of ecosystem services. As a result, developing gully erosion susceptibility maps (GESM) is both suggested and necessary. In this study, we compared the effectiveness of three hybrid machine learning (ML) algorithms with the…
Social Vulnerability of Brazilian Metropolitan Schools and Teachers’ Absence from Work Due to Vocal and Psychological Symptoms
Teachers' voices and psychological symptoms are the main reasons for absence from work. The objectives of this study were: (i) to spatially represent, through a webGIS, the standardized rates of teachers' absences due to voice (outcome 1) and psychological symptoms (outcome 2) in each Brazilian Federative Unit (FU = 26 states plus Federal District) and (ii) to analyze the relationship between each national outcome rate and the Social Vulnerabilit…
Study Area Map Generator
The increasing demand for high-quality geospatial visualizations in scientific publications has highlighted the need for accessible and standardized tools that support reproducible research. Researchers from various disciplines—often without expertise in Geographic Information Systems (GIS)—frequently require a map figure to locate their study area. This paper presents the Study Area Map Generator, a web-based application developed using Shiny fo…
Computer Science (4 works) · Geographic information system (3 works) · Geography (3 works) · Mathematics (3 works) · Statistics (3 works) · Cartography (2 works) · Data mining (2 works) · Geospatial analysis (2 works) · Machine learning (2 works) · Psychology (2 works)