See more about my research on urban climate, urban morphology, and urban discourses on the following links:
doi.org/10.1016/j.la...
doi.org/10.1016/j.sc...
doi.org/10.1080/1365...
doi.org/10.1016/j.ip...

This study highlights how integrating heterogeneous datasets, including remote sensing and user-generated data, enables researchers to incorporate humans as sensors, offering a richer understanding of urban environments that extends beyond traditional physical descriptions in remote sensing.

In this research focused on Mexico City, I demonstrate that social media content generated by urban residents is both temporally and spatially correlated with air temperature, land surface temperature, and urban morphology.

These differences have significant implications for research that relies on geotext data, and should be therefore considered.

In this paper, we demonstrate that different #topics in #textdata exhibit varying degrees of #geospatiality, with some containing more #geographic mentions or #geotagged #locations than others.

In several research fields, the increasing amount of #geotext data is being integrated to try to understand our world. However, it is crucial to first know its properties and limitations.

The book presents analyzes focused on the #urban #climate in various countries carried out by 34 authors, providing a broad overview of the #urbandevelopment trends in #LatinAmerica and its current and future consequences for #local #climatechange.

In this book, my colleagues and I aimed to highlight the presence of an important #LatinAmerican #scientific #community focused on the study of the intensifying #urban #heatislands.

👋

This information can complement official sources, adding first-hand information on the mobility and needs of migrants across space, time, topics, and languages, which is crucial to develop humanitarian response plans when time is of the essence.

Our results on migration patterns are consistent with official sources (R2 = 0.89). Furthermore, topics that were not present in official ground survey results were identified in this research, possibly due to the open communication of migrants on social media compared to predefined surveys.

Migration was mostly to Germany, Poland, Russia, Romania, and Hungary. “Attack reports”, “donations to Ukrainians”, “humanitarian aid”, “nuclear threat”, and “job search” were dominant topics while being in Ukraine. “Food”, “social media”, “transport”, and “finance” were discussed after leaving.

In this research, we joined the collective effort to produce relevant information regarding the crisis triggered by the war in Ukraine. We identified mobility patterns and the main opinions and needs of migrants from Ukraine at diverse stages of their migration process based on social media data.

This information can complement official sources, adding first-hand information on the mobility and needs of migrants across space, time, topics, and languages, which is crucial to develop humanitarian response plans when time is of the essence.

Our results on migration patterns are consistent with official sources (R2 = 0.89). Furthermore, topics that were not present in official ground survey results were identified in this research, possibly due to the open communication of migrants on social media compared to predefined surveys.

Migration was mostly to Germany, Poland, Russia, Romania, and Hungary. “Attack reports”, “donations to Ukrainians”, “humanitarian aid”, “nuclear threat”, and “job search” were dominant topics while being in Ukraine. “Food”, “social media”, “transport”, and “finance” were discussed after leaving.