Complementary Methods for Citizen Mapping of Ecosystem Services: Comparing Digital and Analog Representations

被引:1
|
作者
Edsall, Robert M. [1 ]
Barbour, Laura [2 ]
Hoffman, Johanna [2 ]
机构
[1] Idaho State Univ, Dept Hist, Pocatello, ID 83209 USA
[2] Univ Idaho, McCall Outdoor Sci Sch, Moscow, ID 83843 USA
关键词
Collaborative mapping; Map design; Citizen science; SCIENCE;
D O I
10.1007/978-3-319-17738-0_20
中图分类号
P9 [自然地理学]; K9 [地理];
学科分类号
0705 ; 070501 ;
摘要
In June 2014, the authors organized and led a citizen mapping activity for primary and secondary teachers with the dual goal of educating them about ecosystem services of a local river (and its environs) and empowering them as contributors of important social information about the valuation of their local ecosystem. We employed two methods to enable this citizen mapping: an "analog" method, using Mylar sheets, dry-erase markers, and print-outs of a satellite view of the area of interest; and a "digital" method, employing Collector for ArcGIS and related databases to create a community map of ecosystem services in real time. This chapter reports on the similarities and differences in content and style of the resulting maps, and in engagement and behavior of the participants. As citizen-enabled geospatial inquiry (in the form of both contributions and analysis of geographic data) continues to grow, an examination of multiple ways of enabling that inquiry is relevant and required. We conclude that, in the context of an open-ended citizen mapping activity with the intent to empower participants and collect survey-like geo-referenced data, both techniques are recommended to document the phenomenon and attitudes about it most completely.
引用
收藏
页码:295 / 307
页数:13
相关论文
共 23 条
  • [21] Author Correction: Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil
    Bárbara Pereira Christofaro Silva
    Marx Leandro Naves Silva
    Fabio Arnaldo Pomar Avalos
    Michele Duarte de Menezes
    Nilton Curi
    Scientific Reports, 9
  • [22] Mapping Forest Ecosystem Biomass Density for Xiangjiang River Basin by Combining Plot and Remote Sensing Data and Comparing Spatial Extrapolation Methods
    Zhu, Jia
    Huang, Zhihong
    Sun, Hua
    Wang, Guangxing
    REMOTE SENSING, 2017, 9 (03)
  • [23] Digital soil mapping including additional point sampling in Posses ecosystem services pilot watershed, southeastern Brazil (vol 9, 13763, 2019)
    Silva, Barbara Pereira Christofaro
    Silva, Marx Leandro Naves
    Avalos, Fabio Arnaldo Pomar
    de Menezes, Michele Duarte
    Curi, Nilton
    SCIENTIFIC REPORTS, 2019, 9 (1)