Linda W Pickle
Biographic Data
| ID | 5233069 |
|---|---|
| NAME | Linda W Pickle |
| GIVEN NAMES | Linda W |
| FAMILY NAME | Pickle |
| SIGNATURE | PICKLE L W |
| AFFILIATIONS | Institute of Geography of the Slovak Academy of Sciences |
| VERIFIED | No |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 31 |
| WORKS AS AUTHOR | 8 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1980 |
| LATEST PUBLICATION YEAR | 2007 |
| H-INDEX | 3 |
Childhood on the Farm
Journal Article Childhood on the Farm: Work, Play, and Coming of Age in the Midwest, Calling This Place Home: Women on the Wisconsin Frontier, 1850–1925 Get access Childhood on the Farm: Work, Play, and Coming of Age in the Midwest. By Riney-Kehrberg Pamela. Lawrence: University Press of Kansas, 2005. xii, 300 pp. $34.95, isbn0-7006-1388-9.) Calling This Place Home: Women on the Wisconsin Frontier, 1850–1925. By Jensen Joan M.. (St. Paul: Minneso…
Choosing Geographic Units for Choropleth Rate Maps, with an Emphasis on Public Health Applications
Choropleth maps are the most widely used map type for mapping rates, such as those involving disease, crime, and socioeconomic indicators. The essential step of choosing a geographic unit to map is often made in an ad hoc manner. Among the desirable characteristics of choropleth mapping units are high degree of resolution, homogeneity of population size, homogeneity of land area, observation of minimum population thresholds and land area threshol…
An elliptic spatial scan statistic and its application to breast cancer mortality data in Northeastern United States
Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series
Our research goal was to determine which choropleth classification methods are most suitable for epidemiological rate maps. We compared seven methods using responses by fifty-six subjects in a two-part experiment involving nine series of U.S. mortality maps. Subjects answered a wide range of general map-reading questions that involved individual maps and comparisons among maps in a series. The questions addressed varied scales of map-reading, fro…
Visualizing Georeferenced Data
The power of human vision to synthesize information and recognize pattern is fundamental to the success of visualization as a scientific method. This same power can mislead investigators who use visualization to explore georeferenced data-if data reliability is not addressed directly in the visualization process. Here, we apply an integrated cognitive-semiotic approach to devise and test three methods for depicting reliability of georeferenced he…
Mapping Mortality
Use of color for representing health data on maps raises many unanswered questions. This research addresses questions about which colors allow accurate map reading and which colors map users prefer. Through the combination of a review of previous color research and an experiment designed to test specific combinations of colors on maps, criteria were established and evaluated for selecting colors for choropleth maps of mortality data. The color-se…
Geographic patterns of ethnic groups in the United States
The geographic distributions of 11 major ethnic groups within the United States, based on 1960 census data, are illustrated by computer-generated state economic area maps. The Scandinavian, German, and Russian ethnic groups were similarly concentrated primarily in the North Central region, while the Irish, Polish, Other East European, and South European groups were clustered predominantly in the Northeast. Other ethnic groups had patterns which w…
Pancreatic cancer mortality in Louisiana
As a preliminary step in the investigation of high pancreas-cancer mortality among White males in a cluster of Louisiana parishes, we examined 876 pairs of certificates of death which occurred in this area during 1960--75. The pancreas-cancer death records were matched to controls by age, race, sex, year of death, and parish of residence. The odds ratios were increased about two-fold for workers in the oil refining and paper manufacturing industr…
Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series
Our research goal was to determine which choropleth classification methods are most suitable for epidemiological rate maps. We compared seven methods using responses by fifty-six subjects in a two-part experiment involving nine series of U.S. mortality maps. Subjects answered a wide range of general map-reading questions that involved individual maps and comparisons among maps in a series. The questions addressed varied scales of map-reading, fro…
Mapping Mortality
Use of color for representing health data on maps raises many unanswered questions. This research addresses questions about which colors allow accurate map reading and which colors map users prefer. Through the combination of a review of previous color research and an experiment designed to test specific combinations of colors on maps, criteria were established and evaluated for selecting colors for choropleth maps of mortality data. The color-se…
Visualizing Georeferenced Data
The power of human vision to synthesize information and recognize pattern is fundamental to the success of visualization as a scientific method. This same power can mislead investigators who use visualization to explore georeferenced data-if data reliability is not addressed directly in the visualization process. Here, we apply an integrated cognitive-semiotic approach to devise and test three methods for depicting reliability of georeferenced he…
Choosing Geographic Units for Choropleth Rate Maps, with an Emphasis on Public Health Applications
Choropleth maps are the most widely used map type for mapping rates, such as those involving disease, crime, and socioeconomic indicators. The essential step of choosing a geographic unit to map is often made in an ad hoc manner. Among the desirable characteristics of choropleth mapping units are high degree of resolution, homogeneity of population size, homogeneity of land area, observation of minimum population thresholds and land area threshol…
Geographic patterns of ethnic groups in the United States
The geographic distributions of 11 major ethnic groups within the United States, based on 1960 census data, are illustrated by computer-generated state economic area maps. The Scandinavian, German, and Russian ethnic groups were similarly concentrated primarily in the North Central region, while the Irish, Polish, Other East European, and South European groups were clustered predominantly in the Northeast. Other ethnic groups had patterns which w…
Pancreatic cancer mortality in Louisiana
As a preliminary step in the investigation of high pancreas-cancer mortality among White males in a cluster of Louisiana parishes, we examined 876 pairs of certificates of death which occurred in this area during 1960--75. The pancreas-cancer death records were matched to controls by age, race, sex, year of death, and parish of residence. The odds ratios were increased about two-fold for workers in the oil refining and paper manufacturing industr…
Geographic patterns of ethnic groups in the United States
The geographic distributions of 11 major ethnic groups within the United States, based on 1960 census data, are illustrated by computer-generated state economic area maps. The Scandinavian, German, and Russian ethnic groups were similarly concentrated primarily in the North Central region, while the Irish, Polish, Other East European, and South European groups were clustered predominantly in the Northeast. Other ethnic groups had patterns which w…
Mapping Mortality
Use of color for representing health data on maps raises many unanswered questions. This research addresses questions about which colors allow accurate map reading and which colors map users prefer. Through the combination of a review of previous color research and an experiment designed to test specific combinations of colors on maps, criteria were established and evaluated for selecting colors for choropleth maps of mortality data. The color-se…
Visualizing Georeferenced Data
The power of human vision to synthesize information and recognize pattern is fundamental to the success of visualization as a scientific method. This same power can mislead investigators who use visualization to explore georeferenced data-if data reliability is not addressed directly in the visualization process. Here, we apply an integrated cognitive-semiotic approach to devise and test three methods for depicting reliability of georeferenced he…
Evaluation of Methods for Classifying Epidemiological Data on Choropleth Maps in Series
Our research goal was to determine which choropleth classification methods are most suitable for epidemiological rate maps. We compared seven methods using responses by fifty-six subjects in a two-part experiment involving nine series of U.S. mortality maps. Subjects answered a wide range of general map-reading questions that involved individual maps and comparisons among maps in a series. The questions addressed varied scales of map-reading, fro…
Choosing Geographic Units for Choropleth Rate Maps, with an Emphasis on Public Health Applications
Choropleth maps are the most widely used map type for mapping rates, such as those involving disease, crime, and socioeconomic indicators. The essential step of choosing a geographic unit to map is often made in an ad hoc manner. Among the desirable characteristics of choropleth mapping units are high degree of resolution, homogeneity of population size, homogeneity of land area, observation of minimum population thresholds and land area threshol…
An elliptic spatial scan statistic and its application to breast cancer mortality data in Northeastern United States
Childhood on the Farm
Journal Article Childhood on the Farm: Work, Play, and Coming of Age in the Midwest, Calling This Place Home: Women on the Wisconsin Frontier, 1850–1925 Get access Childhood on the Farm: Work, Play, and Coming of Age in the Midwest. By Riney-Kehrberg Pamela. Lawrence: University Press of Kansas, 2005. xii, 300 pp. $34.95, isbn0-7006-1388-9.) Calling This Place Home: Women on the Wisconsin Frontier, 1850–1925. By Jensen Joan M.. (St. Paul: Minneso…
Computer Science (4 works) · Demography (4 works) · Geography (4 works) · Medicine (4 works) · Mathematics (3 works) · Sociology (3 works) · Archaeology (2 works) · Artificial Intelligence (2 works) · Cancer (2 works) · Cartography (2 works)