Spatial Analysis of Employment and Population Density: The Case of the Agglomeration of Dijon 1999

By C. Baumont, Cem Ertur, J. Le Gallo. 2004

232 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/ce84e0a11d98010718275d8e697db24b796e8507

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Genevieve Giuliano
2. Christian L. Redfearn
3. A. Agarwal
4. Chen Li
5. Zhu-Biao Duan
6. Darren M. Scott
7. Miquel-Àngel Garcia-López
8. Chandra R. Bhat

Citations in the corpus

• Spatial statistics for urban analysis: A review of techniques with examples (2004, methodology): “Exploratory spatial data analysis in both papers, moreover, guides model development in frameworks that use spatially autoregressive models (Baumont et al., 2004) and spatially switching-spatially autoregressive models (Páez et al., 2001).”
• Employment Concentrations in Los Angeles, 1980–2000 (2007, background): “Other approaches include variants on gradient estimation to identify potential centers (Heikkila et al, 1989; Small and Song, 1994), and estimations of spline functions (Baumont et al, 1999; Craig and Ng, 2001; Muniz et al, 2003).”