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At least 343 records · Page 19Linked to original sources
PubMed1995

Age and gender differences in the effectiveness of map-like learning aids in memory for routes.

Young (ages 25-40 yrs) and older (ages 60-75 yrs) adults viewed a series of slides depicting a route through a neighborhood and were tested on their ability to remember the route. Subjects either received no learning aid, a sketch of the route labeled as a "map," or the same aid labeled a "diagram." Aids either did or did not include route landmarks. Relative to younger men, older men's performance was significantly poorer only when they had no learning aid. In contrast, age differences for women were obtained only when the aid had been labeled a "map." The presence of landmarks eliminated age-related decrements in scene memory for men but increased them for women. In addition, results were consistent with the hypothesis that memory for large-scale environments is composed of "layout" (i.e., configural) and "scene" components.

Adult↗
PubMed1975

Studies of mortality and morbidity data. II. Mortality from all causes in Ontario Counties during 1964-1968.

Age-adjusted mortality rates, for all causes of death, are tabulated for all ages by sex for the 55 Ontario counties and districts. The rates are based on all deaths of Ontario residents during 1964-1968 and 1966 census populations. The consistent trends in rates, both for the two sexes and for various 10- and 20-year age groups, indicate that there is a region of about eight adjoining counties, across the center of the province, which has abnormally high mortality, and two regions to the east and west of York, each consisting of three adjoining counties which have abnormally low mortality. The relevance of these findings to aging studies is indicated, and possible further investigations of them are discussed.

Adult↗
PubMed1994

Age differences in the interpretation of misaligned "You-Are-Here" maps.

"You-Are-Here" (YAH) maps, common in shopping malls and office buildings, are difficult to interpret if not aligned with their surroundings. Younger and older adults made direction decisions after viewing simple maps representing a university campus. YAH arrows were either upright and coordinated with viewer position or contra-aligned 180 degrees. Contra-alignment caused subjects, especially older adults, to take more time and be less accurate. Women were slower on contra-aligned maps, although no less accurate, than men. The need to mentally realign such incongruent maps in order to make correct direction decisions can cause serious difficulty for older adults trying to navigate through large, complex environments.

Adult↗
PubMed1986

Cancer mortality and urbanization in China.

Maps of 14 cancer types in China appear to show distinctive geographical distributions, but principal components analysis reveals that they share an underlying pattern which reflects variations in urbanization. Differences in risk factors between rural and urban areas, the process of disease transition and geographically biased data recording might explain the association.

China↗
PubMed1996

Statistical choropleth cartography in epidemiology.

BACKGROUND: The potential of maps in the study of regional variation and similarity in health and in understanding the underlying processes is being increasingly realized. It has thus become important that more care is exercised in drawing health maps and the subjective elements are minimized. Conventional choropleth maps based on qualitative data are mostly arbitrary with regard to the number of categories and the cutoff points. This can lead to substantially different pictures based on the same data set. METHODS: We suggest use of cluster methods to discover 'natural' groups of data points which to a large extent are suggested by the data themselves. These methods can determine not only the cutoff points but also the number of categories required to depict the variability in the data. The methods have natural extension to the multivariate set-up and thus can provide the strategy to construct integrated maps based on the simultaneous consideration of several variables. Since different cluster methods can yield different grouping we propose a simple method to identify cutoffs common to a majority of the methods. RESULTS: The details of the methods are explained on two real data sets. One is the indicators of mortality before one year of age in India and the other is years of life lost due to premature mortality in different countries. The maps obtained are compared with the conventional maps. CONCLUSION: The cutoff points obtained by a majority of cluster methods deserve attention for obtaining natural groups for choroplethic depiction. Maps based on such cutoffs seem to have promise for increasing the accuracy in perception and cognition of regional variation.

Analysis of Variance↗
PubMed2000

Alternate ranging methods for cancer mortality maps.

BACKGROUND: Mapping techniques can highlight the spatial or temporal variations in rates of cancer mortality. In mapping geographic patterns of cancer mortality, spatial units are grouped into categories defined by specified rate ranges, and then the units in each category are assigned a particular color in the map. We examined the consequences of using different ranging methods when comparing maps over several time intervals. METHODS: Maps of mortality rates for cancers of the breast, lung (including the lung, trachea, bronchus, and pleura), and cervix uteri in the United States by county or state economic area are created for different time intervals between 1950 and 1994. Two ranging methods are employed: 1) Ranges are defined for individual time interval by the deciles of rates in that interval (ranging within intervals), and 2) constant ranges for all time intervals are defined by the deciles of rates for the entire 45-year period from 1950 through 1994 (ranging across intervals). The time intervals from 1950 through 1969 and from 1970 through 1994 were chosen to accommodate the availability of detailed county-level population estimates specifically for blacks starting in 1970. RESULTS: The ranging method has little impact on maps for breast cancer mortality, which changed little over time. For lung cancer, which increased over time, and cervix uteri cancer, which decreased over time, ranging within time intervals shows the geographic variability but does not convey the temporal trends. Trends are evident when ranging across time intervals is employed; however, geographic variability is partially obscured by the predominance of spatial units in the highest rate categories in the recent time intervals for lung cancer and in the early time intervals for cervix uteri cancer. CONCLUSIONS: Ranging within time intervals displays geographic patterns and changes in geographic patterns, regardless of time trends in rates. Ranging across time intervals shows temporal changes in rates but with some loss of information about geographic variability.

Breast Neoplasms↗
PubMed2005

Estimation of leaf water potential by thermal imagery and spatial analysis.

Canopy temperature has long been recognized as an indicator of plant water status and as a potential tool for irrigation scheduling. In the present study, the potential of using thermal images for an in-field estimation of the water status of cotton under a range of irrigation regimes was investigated. Thermal images were taken with a radiometric infrared video camera. Specific leaves that appeared in the camera field of view were sampled, their LWP was measured and their temperature was calculated from the images. Regression models were built in order to predict LWP according to the crop canopy temperature and to the empirical formulation of the crop water stress index (CWSI). Statistical analysis revealed that the relationship between CWSI and LWP was more stable and had slightly higher correlation coefficients than that between canopy temperature and LWP. The regression models of LWP against CWSI and against leaf temperatures were used to create LWP maps. The classified LWP maps showed that there was spatial variability in each treatment, some of which may be attributed to the difference between sunlit and shaded leaves. The distribution of LWP in the maps showed that irrigation treatments were better distinguished from each other when the maps were calculated from CWSI than from leaf temperature alone. Furthermore, the inclusion of the spatial pattern in the classification enhanced the differences between the treatments and was better matched to irrigation amounts. Optimal determination of the water status from thermal images should be based on an overall view of the physical status as well as on the analysis of the spatial structure. Future study will involve investigating the robustness of the models and the potential of using water status maps, derived from aerial thermal images, for irrigation scheduling and variable management in commercial fields.

Agriculture↗
PubMed1992

Epidemiologic mapping using the "kriging" method: application to an influenza-like illness epidemic in France.

This paper presents the application of a technique from the earth sciences, the "kriging" method, to the field of geographic epidemiology. Both the principles of the method and the basic equations are given. A key advantage of the method is that it relies on an analysis of the spatial variability of the data and allows the representation of the variable under study as a continuous process throughout a country. Application of the kriging method to the geographic distribution of an epidemic of influenza-like illness in France is discussed.

Epidemiologic Methods↗