Access Statistics for Filipe Batista e Silva
Author contact details at EconPapers.
| Journal Article | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| A high-resolution population grid map for Europe | 0 | 0 | 1 | 6 | 2 | 2 | 10 | 68 |
| A new European regional tourism typology based on hotel location patterns and geographical criteria | 0 | 0 | 0 | 12 | 0 | 3 | 14 | 71 |
| An assessment of the regional potential for solar power generation in EU-28 | 0 | 0 | 1 | 22 | 0 | 3 | 9 | 130 |
| Estimating Demand for Industrial and Commercial Land Use Given Economic Forecasts | 0 | 0 | 1 | 3 | 0 | 1 | 4 | 22 |
| Modelling built-up land take in Europe to 2020: an assessment of the Resource Efficiency Roadmap measure on land | 0 | 0 | 0 | 2 | 0 | 1 | 5 | 16 |
| Quantifying and modelling industrial and commercial land-use demand in France | 0 | 0 | 0 | 6 | 0 | 4 | 12 | 43 |
| Uncovering temporal changes in Europe’s population density patterns using a data fusion approach | 0 | 0 | 0 | 0 | 0 | 2 | 4 | 5 |
| Total Journal Articles | 0 | 0 | 3 | 51 | 2 | 16 | 58 | 355 |
| Chapter | File Downloads | Abstract Views | ||||||
|---|---|---|---|---|---|---|---|---|
| Last month | 3 months | 12 months | Total | Last month | 3 months | 12 months | Total | |
| The LUISA Territorial Modelling Platform and Urban Data Platform: An EU-Wide Holistic Approach | 0 | 0 | 0 | 2 | 0 | 4 | 24 | 152 |
| Total Chapters | 0 | 0 | 0 | 2 | 0 | 4 | 24 | 152 |
Top Working Papers
Top Journal Articles
Top Books
Top Chapters
Top Software Items
Top Working Paper series and Journals
Authors with papers registered in the RePEc Author Service.
Register yourself as an author or register more papers in the RePEc Author Service.
Authors with no registered papers
LogEc is hosted by the
Örebro University School of Business.
Questions or comments? Please see our explanation of how the statistics are collected or e-mail
Since October 2025, abstract view statistics are potentially heavily influenced by traffic from AI bots and tools that we could not eliminate despite our best efforts.