CARTOGRAPHIC JOURNAL制图学杂志
CARTOGRAPHIC JOURNAL(英文缩写 CARTOGR J),ISSN 0008-7041,eISSN 1743-2774,中文译名:制图学杂志 是一本学术期刊。本页汇总该期刊的最新影响因子、分区信息以及最新收录于 PubMed 的文献,帮助您快速了解期刊全貌。
发文量统计区间：2025-10-01 至 2026-09-30，按本站收录文献的发表日期统计。
期刊介绍
历年影响因子趋势
| JCR 数据年份 | 影响因子 | JCR 分区 |
|---|---|---|
| 2021 | 1.366 | Q4 |
| 2022 | 1.000 | Q4 |
| 2023 | 1.000 | Q3 |
| 2024 | 0.800 | Q3 |
| 2025 | 0.700 | Q3 |
CARTOGRAPHIC JOURNAL 最新收录文献
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1. Value-by-alpha maps: An alternative technique to the cartogram.
PMID:日期:2010-05-01The cartogram, or value-by-area map, is a popular technique for cartographically representing social data. Such maps visually equalize a basemap prior to mapping a social variable by adjusting the size of each enumeration unit by a second, related variable. However, to scale the basemap units according to an equalizing variable, cartograms must distort the shape and/or topology of the original geography. Such compromises reduce the effectiveness of the visualization for elemental and general map-reading tasks. Here we describe a new kind of representation, termed a value-by-alpha map, which visually equalizes the basemap by adjusting the alpha channel, rather than the size, of each enumeration unit. Although not without its own limitations, the value-by-alpha map is able to circumvent the compromise inherent to the cartogram form, perfectly equalizing the basemap while preserving both shape and topology.
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2. Resolution Control for Balancing Overview + Detail in Spatial, Multivariate Analysis.
PMID:日期:2008-11-01Parallel coordinates, re-orderable matrices, and dendrograms are widely used for visual exploration of multivariate data. This research proposes an approach to systematically integrate the methods in a complementary manner for supporting multi-resolution visual data analysis with an enhanced overview+detail exploratory strategy. The paper focuses on three topics: (1) dynamic control across resolutions at which data are explored; (2) coordination and color mapping among the views; and (3) enhanced features of each view designed for the overview+detail exploratory tasks. We contend that systematically coordinating the views through user-controlled resolutions within a highly interactive analysis environment will boost productivity for exploration tasks. We offer a case study analysis to demonstrate this potential. The case study is focused on a complex, geographically referenced dataset including public health, demographic and environmental components.
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3. A digital map of Public-Use Microdata Areas in the 1990 U.S. census.
PMID:日期:1997-06"Public-Use Microdata Areas (PUMAs) are the smallest geographic units for which many U.S. Census variables are reported. In particular, 1990 microdata records for households and individuals can be aggregated only by PUMA, metropolitan area, state, and region. The Census Bureau distributes maps of these PUMAs only on paper, however, and only for individual states. This note describes the construction of a national, digital base map of the PUMAs used in the 1990 U.S. Census microdata files (5% sample)."
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4. Generating and mapping population density surfaces within a geographical information system.
PMID:日期:1994-06该文献暂无摘要。