afcon: Spatial patterns of conflict in Africa 1966-78

In spdep: Spatial Dependence: Weighting Schemes, Statistics and Models

Description

The afcon data frame has 42 rows and 5 columns, for 42 African countries, exclusing then South West Africa and Spanish Equatorial Africa and Spanish Sahara. The dataset is used in Anselin (1995), and downloaded from before adaptation. The neighbour list object africa.rook.nb is the SpaceStat ‘rook.GAL’, but is not the list used in Anselin (1995) - paper.nb reconstructs the list used in the paper, with inserted links between Mauritania and Morocco, South Africa and Angola and Zambia, Tanzania and Zaire, and Botswana and Zambia. afxy is the coordinate matrix for the centroids of the countries.

Usage

data(afcon)

Format

This data frame contains the following columns:

x

an easting in decimal degrees (taken as centroid of shapefile polygon)

y

an northing in decimal degrees (taken as centroid of shapefile polygon)

totcon

index of total conflict 1966-78

name

country name

id

country id number as in paper

Note

All source data files prepared by Luc Anselin, Spatial Analysis Laboratory, Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign.

Source

Anselin, L. and John O'Loughlin. 1992. Geography of international conflict and cooperation: spatial dependence and regional context in Africa. In The New Geopolitics, ed. M. Ward, pp. 39-75. Philadelphia, PA: Gordon and Breach. also: Anselin, L. 1995. Local indicators of spatial association, Geographical Analysis, 27, Table 1, p. 103.

Examples

data(afcon)
plot(africa.rook.nb, afxy)
plot(diffnb(paper.nb, africa.rook.nb), afxy, col="red", add=TRUE)
text(afxy, labels=attr(africa.rook.nb, "region.id"), pos=4, offset=0.4)
moran.test(afcon$totcon, nb2listw(africa.rook.nb))
moran.test(afcon$totcon, nb2listw(paper.nb))
geary.test(afcon$totcon, nb2listw(paper.nb))

Example output

Loading required package: sp
Loading required package: Matrix

	Moran I test under randomisation

data:  afcon$totcon  
weights: nb2listw(africa.rook.nb)  

Moran I statistic standard deviate = 4.1251, p-value = 1.853e-05
alternative hypothesis: greater
sample estimates:
Moran I statistic       Expectation          Variance 
       0.40981723       -0.02439024        0.01107950 


	Moran I test under randomisation

data:  afcon$totcon  
weights: nb2listw(paper.nb)  

Moran I statistic standard deviate = 4.3485, p-value = 6.854e-06
alternative hypothesis: greater
sample estimates:
Moran I statistic       Expectation          Variance 
       0.41679563       -0.02439024        0.01029358 


	Geary C test under randomisation

data:  afcon$totcon 
weights: nb2listw(paper.nb) 

Geary C statistic standard deviate = 2.8988, p-value = 0.001873
alternative hypothesis: Expectation greater than statistic
sample estimates:
Geary C statistic       Expectation          Variance 
       0.58395772        1.00000000        0.02059931 

spdep documentation built on Aug. 19, 2017, 3:01 a.m.