Statistical analysis of spatial data in the presence of missing observations:  a methodological guide and an application to urban census data.
"In this paper a simple introduction and guide to a widely applicable method for estimating missing data in fields of enquiry such as census maps or LANDSAT images are presented.  The method given is a maximum likelihood procedure.... The algorithm is presented in the form of a simple tutorial guide.  An example, of median income levels in Houston [Texas], is worked through in detail for missing cells in census data.  The example is characterised by a variable mean and a general variance-covariance matrix."
Griffith
D A
DA
Bennett
R J
RJ
Haining
R P
RP
D000569:Americas; D003710:Demography; D019049:Developed Countries; D004467:Economics; D007182:Income; D008377:Maps as Topic; D008722:Methods; D009656:North America; D011153:Population; D011154:Population Characteristics; D012106:Research; D012959:Socioeconomic Factors; D013223:Statistics as Topic; D013781:Texas; D014481:United States; D014505:Urban Population
Americas; Data Analysis; Demographic Factors; Developed Countries; Economic Factors; Estimation Technics; Income; Maps; Methodological Studies; North America; Northern America; Population; Population Characteristics; Research Methodology; Socioeconomic Factors; Texas; United States; Urban Population