The topic gathers works in which location matters. Geographic information systems, satellite remote sensing, spatial econometrics and multi-criteria analysis are used to map ecosystem services, land use, environmental sensitivity, biomass and the distribution of farms. These tools often become decision support systems for land planning. Recent research uses satellite images to estimate crop yields and condition, studies the territorial effects of geographical indications and applies spatial analysis to the location of olive mills, organic waste management and transport.
Description written by AI from the keywords, journals, most-cited works and recent works of the topic.
The last share tells how far the topic passes through few hands: in the field it ranges from 12% to 39%. 21% means that the topic has some reference groups but remains widespread. Signatures are counted, not papers: an article with four authors on the topic weighs four times, because the question is how much of the work passes through few people.
The topic is declining: citations received by its papers went from 1,972 (2020–2022) to 2,373 (2023–2025), while those of the whole field grew 1.55 times. Citations received in those years by all papers on the topic are counted, including older ones.
By papers on the topic. The last column still shows specialisation, to tell apart those who work on it a lot in absolute terms from those who work on it above all.
Not those who published the most on it, but those who devote the largest share of their output to it compared with the field average. Above 1 there is specialisation; the tick marks parity. Researchers with fewer than three papers on the topic are excluded.
| Name | Institution | Papers on the topic | Specialisation |
|---|---|---|---|
| Flavio Lupia | CREA – Centro di ricerca Politiche e Bioeconomia | 13 | 12.49 |
| Mauro Viccaro | Università degli Studi della Basilicata | 13 | 11.42 |
| Claudio Fagarazzi | Università degli Studi di Firenze | 11 | 11.24 |
| Marta Debolini | Centro Euro-Mediterraneo sui Cambiamenti Climatici | 12 | 10.66 |
| Giuseppe Pulighe | CREA – Centro di ricerca Politiche e Bioeconomia | 11 | 10.66 |
| Mario Cozzi | Università degli Studi della Basilicata | 14 | 10.35 |
| Sandro Sacchelli | Università degli Studi di Firenze | 18 | 9.73 |
| Severino Romano | Università degli Studi della Basilicata | 14 | 9.59 |
| Francesco Riccioli | Università di Pisa | 13 | 8.12 |
| Iacopo Bernetti | Università degli Studi di Firenze | 16 | 7.66 |
The number tells how much work on the topic comes from each institution; specialisation tells how much the topic weighs within the institution compared with the field average. A small, focused institution can be more specialised than a large one that does everything.
| Institution | Papers on the topic | Specialisation |
|---|---|---|
| Università degli Studi di Firenze | 86 | 3.29 |
| CREA – Centro di ricerca Politiche e Bioeconomia | 59 | 1.91 |
| Università degli Studi della Basilicata | 57 | 4.34 |
| Università degli Studi di Catania | 51 | 1.08 |
| Università degli Studi di Perugia | 33 | 1.90 |
| Alma Mater Studiorum – Università di Bologna | 30 | 0.67 |
| Università degli Studi di Padova | 30 | 0.96 |
| Università degli Studi di Bari Aldo Moro | 26 | 1.55 |
| Università di Pisa | 24 | 1.80 |
| Università degli Studi del Molise | 21 | 2.12 |
The topics that most often appear in the same papers. The number is the papers in common.