Visualization and Communication in Map-Making
A Case Study of Mapping a Complex Rainforest Environment in Peruvian Amazonia
Bibliographic Data
| ID | 14701991 |
|---|---|
| Authors | Sanna Mäki (University of Turku, corresponding author), Risto Kalliola (0000-0003-2454-8217, University of Turku) |
| Year | 2000 |
| Volume | 37 |
| Issue | 2 |
| Pages | 27-42 |
| Publication date | 2000-06-01 |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/h547-2447-7136-023g |
| OpenAlex | W2103251092 |
| Language | EN |
| Citations received | 2 |
| References cited | 11 |
Producing good-quality landscape maps of remote areas such as tropical rainforests is difficult because such areas are environmentally complex and not easily accessible. Existing thematic maps commonly appear far more finished than is warranted by the mapping and research effort that lies behind them, and they do not provide the map user the opportunity to properly evaluate the product. Here we examine the production of an experimental map based on multidisciplinary research on landscape variation and the effect such variation has on land use potential within Peruvian lowland Amazonia. The map aims at representing the environmental heterogeneity of the region and the scientific uncertainty of that knowledge. Remote sensing, image processing and interpretation, GIS, and field inventory methods were applied in the production of the map. The final map shows a combination of raw and interpreted data as thematic components, illustrating the natural environment and details of human activity. Each map component was planned to be intuitive and to allow for the transparent presentation of the themes studied. Map reading and "fitness for use" were tested with a questionnaire on a test group from the local university, and the test validates many of our goals in the fields of cartographic communication and representation
Amazon rainforest · Cartography · Data mining · Data science · Environmental resource management · Field (mathematics · Geography · Rainforest · Remote sensing · Thematic map · Visualization · Computer Science · Conservation, Biodiversity, and Resource Management · Environmental Science · Geographic Information Systems Studies · Land Use and Ecosystem Services · Ecology
| Citations per year | 0.09 |
|---|---|
| Citation span | 2003 - 2008 (6) |
| Highly cited | No |