Missing data and variable labels in Chapter 6 code script

amegbor commented 4 years ago

Hello,

I have been following your book - Applied Spatial Statistics and Econometrics Data Analysis in R - with great interest and have pre-ordered it via Routledge website. I was going through the R script for chapter 6 and I noticed some issues.

The polygon data '#R8_0 Data' is not part of the data you loaded here.
The variable codes XA31, XA28 and XA40 used in creating the outcome and predictors in the GWR and GTWR models do not exist in the dataset.

Regards,

Prince Ch06 Geographically Weighted Regression - modelling spatial heterogeneity.txt

kkopczewska commented 4 years ago

Hi, many thanks for the interest! Book seems to be delayed because of coronavirus. I will include those remarks in the corrections of proofs.

best

Kathy

WyboryUW2020: https://www.pawelstrzelecki.pl/

dr hab. KATARZYNA KOPCZEWSKA, prof.ucz. / Associate professor Prodziekan ds. studenckich / Vice Dean for Student Affairs

WYDZIAŁ NAUK EKONOMICZNYCH / Faculty of Economic Sciences UNIWERSYTET WARSZAWSKI / University of Warsaw Długa 44/50, 00-241 Warszawa / 44/50 Dluga street, PL-00241 Warsaw, Poland

W dniu 2020-06-13 21:10, amegbor napisał(a):

Hello,

I have been following your book - Applied Spatial Statistics and Econometrics Data Analysis in R - with great interest and have pre-ordered it via Routledge website. I was going through the R script for chapter 6 and I noticed some issues.

The polygon data '#R8_0 Data' is not part of the data you loaded here.

The variable codes XA31, XA28 and XA40 used in creating the outcome and predictors in the GWR and GTWR models do not exist in the dataset.

Regards,

Prince Ch06 Geographically Weighted Regression - modelling spatial heterogeneity.txt [1]

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KatePaull commented 1 year ago

On a similar note to this, I am not seeing the variable "voivodeship" in the data_nts4_2019.csv file, which is used in chapter 1 for a few things, such as pie charts in section 1.9.3.

kkopczewska commented 1 year ago

Hi, that will be the variable which has 16 levels - voivodships or regions. These are the names of NUTS2 regions as "mazowieckie" etc. Best, Kathy

dr hab. KATARZYNA KOPCZEWSKA, prof.ucz. / Associate professor

Katedra Statystyki i Ekonometrii / Chair of Statistics and Econometrics

WYDZIAŁ NAUK EKONOMICZNYCH / Faculty of Economic Sciences UNIWERSYTET WARSZAWSKI / University of Warsaw Długa 44/50, 00-241 Warszawa / 44/50 Dluga street, PL-00241 Warsaw, Poland

Kubara M., Kopczewska K.,(2023) Akaike Information Criterion in testing optimal spatial neighbourhood-choosing proper knn for spatial weights matrix, Spatial Economic Analysis, https://www.tandfonline.com/doi/full/10.1080/17421772.2023.2176539

Kopczewska K., Kopczewski T., (2022) Natural spatial pattern--When mutual socio-geo distances between cities follow Benford's law, PLOSOne, https://doi.org/10.1371/journal.pone.0276450

Kopczewska K. (2022) Spatial machine learning: new opportunities for regional science, Annals of Regional Science, https://doi.org/10.1007/s00168-021-01101-x

Kudła J., Kopczewska K., Stachowiak-Kudła M. (2023) Trade, investment and size inequalities between countries and the asymmetry in double taxation agreements, Economic Modelling https://www.sciencedirect.com/science/article/pii/S0264999323000561

forthcoming:

Kopczewska K., (2023) Spatial bootstrapped microeconometrics: forecasting for out-of-sample geo-locations in big data, Scandinavian Journal of Statistics

W dniu 2023-03-16 15:28, KatePaull napisał(a):

On a similar note to this, I am not seeing the variable "vovoideship" in the data_nts4_2019.csv file, which is used in chapter 1 for a few things, such as pie charts in section 1.9.3.

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