Assessing citizen science opportunities in forest monitoring using probabilistic topic modelling

Daume, Stefan; Albert, Matthias; von Gadow, Klaus

doi:10.1186/s40663-014-0011-6

Forest Ecosystems

Table 1 Most frequent words and relative word frequencies by topic for a sample set of topics

From: Assessing citizen science opportunities in forest monitoring using probabilistic topic modelling

Topic 69 “science study”		Topic 38 “science study”		Topic 67 “information systems”		Topic 32 “climate change”
Results	0.047	Study	0.029	Information	0.049	Climate	0.180
Methods	0.046	Results	0.027	Systems	0.036	Change	0.129
Method	0.044	Change	0.024	Development	0.035	Effects	0.037
Study	0.030	Time	0.022	Paper	0.033	Water	0.026
Accuracy	0.030	Analysis	0.019	Support	0.024	Ecosystems	0.024
Based	0.028	Studies	0.018	Developing	0.019	Response	0.022
Compared	0.023	Large	0.017	Process	0.019	Management	0.021
High	0.021	Significant	0.016	Framework	0.017	Integrated	0.016
Evaluated	0.014	Years	0.016	Key	0.016	Ground	0.016
Developed	0.014	Found	0.015	Based	0.013	Impacts	0.015
Topic 0 “volunteer surveys”		Topic 30 “education”		Topic 24 “plant phenology”		Topic 85 “galaxies”
Volunteers	0.161	Students	0.112	Plant	0.082	Galaxy	0.065
Volunteer	0.118	Learning	0.056	Phenology	0.078	Galaxies	0.054
Collected	0.041	Education	0.056	Plants	0.066	Zoo	0.044
Scientists	0.030	Classroom	0.024	Species	0.059	Project	0.026
Groups	0.025	Teaching	0.020	Phenological	0.043	dna	0.026
Recording	0.021	School	0.019	Interactions	0.033	Morphological	0.026
Professional	0.020	Literacy	0.018	Network	0.032	Spiral	0.023
Surveying	0.020	Teachers	0.018	Networks	0.032	Supernovae	0.021
Environment	0.019	Educational	0.017	Observations	0.023	Genetic	0.021
Motivations	0.018	Experiences	0.013	Timing	0.023	Classifications	0.016
Topic 53 “forest growth”		Topic 87 “SAR”		Topic 91 “ozone”		Topic 20 “carbon stocks”
Tree	0.126	Sar	0.068	Ozone	0.103	Carbon	0.091
Trees	0.082	Coherence	0.038	Concentrations	0.051	Redd	0.052
Growth	0.064	Radar	0.034	Sites	0.048	Countries	0.049
Species	0.032	Backscatter	0.032	Measured	0.036	National	0.044
Structure	0.032	l-band	0.023	Site	0.029	Change	0.032
Area	0.023	ers	0.022	Passive	0.027	Deforestation	0.031
Composition	0.021	Stands	0.022	Symptoms	0.023	Stocks	0.024
Plots	0.020	Biomass	0.022	Measurements	0.021	Climate	0.022
Diameter	0.020	Areas	0.020	Critical	0.019	Inventory	0.019
Conditions	0.017	Images	0.020	Sampling	0.019	Reporting	0.017

The table shows sample generic topics (top row), typical citizen science topics (middle row) and typical forest monitoring topics (bottom row). For each topic the topic ID and a representative label is provided.

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