Salvato in:
| Autore principale: | |
|---|---|
| Natura: | Artículo científico |
| Lingua: | en |
| Pubblicazione: |
Universidad de Costa Rica
2024
|
| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=44176067005 https://www.redalyc.org/journal/441/44176067005/ https://www.redalyc.org/journal/441/44176067005/html/ https://www.redalyc.org/journal/441/44176067005/44176067005.epub https://www.redalyc.org/journal/441/44176067005/movil https://doi.org/10.5517/ri.v34i1.56618 |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
| _version_ | 1866815529137733632 |
|---|---|
| author | Eduardo Pérez Molina |
| author_facet | Eduardo Pérez Molina |
| contents | UNCERTAINTY IN LAND VALUE MODELING OF THE SAN JOSÉ METROPOLITAN REGION, COSTA RICA Eduardo Pérez Molina Darío Vargas Aguilar Ingeniería land values uncertainty Extrapolation spatial factors sequential Gaussian simulation Land value patterns show very distinct spatial associations with accessibility to urban centralities and physical factors in a territory. However, predictions based on models of this structure can be highly uncertain, as the underlying data also may show clustering (thus allowing for better predictions in more densely sampled areas). An assessment of this uncertainty for land value extrapolations in the San José Metropolitan Region of Costa Rica is presented, via conditional Gaussian simulation, and the determinants of this uncertainty were explored, to find spatial strengths and weaknesses in the modeling efforts. The E-Type prediction from the conditional Gaussian simulation was found to marginally improve on ordinary kriging methods and it also provided explicit uncertainty patterns, which are the inverse of the land value prediction. The estimated uncertainty was found to decrease with characteristics that identify suitability for urban land use (and thus higher land values). 2024 artículo científico 1409-2441 https://www.redalyc.org/articulo.oa?id=44176067005 https://www.redalyc.org/journal/441/44176067005/ https://www.redalyc.org/journal/441/44176067005/html/ https://www.redalyc.org/journal/441/44176067005/44176067005.epub https://www.redalyc.org/journal/441/44176067005/movil https://doi.org/10.5517/ri.v34i1.56618 en http://www.redalyc.org/revista.oa?id=441 Ingeniería. Revista de la Universidad de Costa Rica application/pdf Universidad de Costa Rica Ingeniería. Revista de la Universidad de Costa Rica (Costa Rica) Num.1 Vol.34 |
| format | Artículo científico |
| id | redalyc_44176067005 |
| language | en |
| publishDate | 2024 |
| publisher | Universidad de Costa Rica |
| spellingShingle | UNCERTAINTY IN LAND VALUE MODELING OF THE SAN JOSÉ METROPOLITAN REGION, COSTA RICA Eduardo Pérez Molina Ingeniería land values uncertainty Extrapolation spatial factors sequential Gaussian simulation UNCERTAINTY IN LAND VALUE MODELING OF THE SAN JOSÉ METROPOLITAN REGION, COSTA RICA Eduardo Pérez Molina Darío Vargas Aguilar Ingeniería land values uncertainty Extrapolation spatial factors sequential Gaussian simulation Land value patterns show very distinct spatial associations with accessibility to urban centralities and physical factors in a territory. However, predictions based on models of this structure can be highly uncertain, as the underlying data also may show clustering (thus allowing for better predictions in more densely sampled areas). An assessment of this uncertainty for land value extrapolations in the San José Metropolitan Region of Costa Rica is presented, via conditional Gaussian simulation, and the determinants of this uncertainty were explored, to find spatial strengths and weaknesses in the modeling efforts. The E-Type prediction from the conditional Gaussian simulation was found to marginally improve on ordinary kriging methods and it also provided explicit uncertainty patterns, which are the inverse of the land value prediction. The estimated uncertainty was found to decrease with characteristics that identify suitability for urban land use (and thus higher land values). 2024 artículo científico 1409-2441 https://www.redalyc.org/articulo.oa?id=44176067005 https://www.redalyc.org/journal/441/44176067005/ https://www.redalyc.org/journal/441/44176067005/html/ https://www.redalyc.org/journal/441/44176067005/44176067005.epub https://www.redalyc.org/journal/441/44176067005/movil https://doi.org/10.5517/ri.v34i1.56618 en http://www.redalyc.org/revista.oa?id=441 Ingeniería. Revista de la Universidad de Costa Rica application/pdf Universidad de Costa Rica Ingeniería. Revista de la Universidad de Costa Rica (Costa Rica) Num.1 Vol.34 |
| title | UNCERTAINTY IN LAND VALUE MODELING OF THE SAN JOSÉ METROPOLITAN REGION, COSTA RICA |
| topic | Ingeniería land values uncertainty Extrapolation spatial factors sequential Gaussian simulation |
| url | https://www.redalyc.org/articulo.oa?id=44176067005 https://www.redalyc.org/journal/441/44176067005/ https://www.redalyc.org/journal/441/44176067005/html/ https://www.redalyc.org/journal/441/44176067005/44176067005.epub https://www.redalyc.org/journal/441/44176067005/movil https://doi.org/10.5517/ri.v34i1.56618 |