Spatial analysis using big data econometrical methods and applications
Spatial Analysis Using Big Data: Methods and Urban Applications helps readers understand the most powerful, state-of-the-art spatial econometric methods, focusing particularly on urban research problems. The methods represent a cluster of potentially transformational socio-economic modeling tools th...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
London, England :
Elsevier
[2020]
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| Colección: | Spatial econometrics and spatial statistics (Academic Press)
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009835434206719 |
Tabla de Contenidos:
- Introduction / Yoshiki Yamagata and Hajime Seya
- Mathematical preparation / Hajime Seya and Yoshiki Yamagata
- Global and local indicators of spatial associations / Hajime Seya
- Geostatistics and Gaussian process models / Daisuke Murakami, Yoshiki Yamagata, and Toshihiro Hirano
- Spatial econometric models / Hajime Seya, Takahiro Yoshida, and Yashiki Yamagata
- Models in quantitative geography / Daisuke Murakami and Yoshiki Yamagata
- Implementation in R languages / Takahiro Yoshida and Daisuke Murakami
- Spaital heat-wave assessments using geotagged Twitter data / Daisuke Murakami and Yoshiki Yamagata
- Evaluating walkability using mobile GPS data / Yoshiki Yamagata, Daisuke Murakami, and Takahiro Yoshida
- Spatial scenario creation based on downscale methods / Daisuke Murakami and Yoshiki Yamagata
- Quasi realt-time energy use estimation using Google's Popular Times data / Takahiro Yoshida and Yoshiki Yamagata.
