Finally, this novel approach to examining livelihood landscapes complements existing livelihood frameworks by providing a new way to visualize, in a compact and comprehensive format, complicated patterns of interrelationships between livelihoods.
This dimension reduction makes it easier to understand the data since it is much easier to interpret two or three uncorrelated components than a set of 40 with embedded patterns of interrelationships.
The aim of the structural or graphical modelling approach is to determine the constrained VAR model that best describes the pattern of interrelationships present in the electronic dairy data.
The pattern of interrelationships revealed by nuclear markers mirrors the haplotypic structure detected by cpDNA sequences at the global scale, as the same groups are supported in parsimony analysis (Figs 3A and 4A).
If drift were the sole or primary determinant of genetic variability levels and patterns of community interrelationships, then the early mission period pattern of decreasing integration should have continued throughout the seventeenth century.
Our livelihood landscapes approach provides insights into communities' dependencies and usages of natural resources, and shows how patterns of occupational interrelationships relate to socioeconomic development and population density.
When used in a livelihood analysis, these measures of centrality, density and centralization provide novel information about the relative importance of specific sectors such as fisheries, which along with information on patterns of occupational interrelationships, can be quantitatively examined and compared.
However, this correlation does not provide information about how the overall pattern of occupational interrelationships in the local economy changes.
By setting certain regression coefficients and entries in the concentration matrix to zero, we obtain a structural VAR model that is associated with a specific pattern of (temporal) interrelationships among the variables.
The proposed methodology, designed for multi-category firms, is a simultaneous equations Tobit model with latent classes which can handle three complicating factors: (i) heterogeneity in spending patterns; (ii) interrelationship of expenditures across firms and categories, called simultaneity; and (iii) data censoring, which occurs when consumers have zero expenditure in a category.
