CAFRI Labs: GNN-SPP 0.0.1

Sam Gordon

Predictor Variables

Environmental Variables

nbr, tcb, tcg, tcw, delta_nbr, delta_tcb, delta_tcg, delta_tcw, twi, slope, chm, mag, dem

yod, precip, tmax, tmin, aspect, lcpri, lcsec, wetlands, ecozones, tax_2019, dec_ecozones

Species Matrix

Basal Area per plot of 131 tree species

Bray-Curtis Dissimilarity Evaluation

Imputing species frequency matrix with GNN

Imputing Proportional Species Frequency (n/total)

Imputing geographically closest plot among 5 nearest neighbors in CCA ordination

Imputing random plots from FIA training set

Overall Dissimilarity of FIA Plots

Species Presence/Absence

Binary Presence/ Absence Accuracy for top 50 tree species (by basal area)

Species	n_test	n_pred	Accuracy	PPV	TPR	TNR
red.maple	274	282	0.686	0.77	0.792	0.435
sugar.maple	236	220	0.676	0.75	0.699	0.641
American.beech	209	192	0.689	0.729	0.67	0.711
eastern.hemlock	122	119	0.638	0.42	0.41	0.742
white.ash	161	159	0.635	0.56	0.553	0.693
yellow.birch	143	161	0.722	0.609	0.685	0.744
eastern.white.pine	91	95	0.712	0.389	0.407	0.805
balsam.fir	70	59	0.889	0.729	0.614	0.95
red.spruce	95	93	0.877	0.753	0.737	0.922
black.cherry	133	140	0.638	0.471	0.496	0.711
northern.red.oak	89	82	0.797	0.561	0.517	0.88
quaking.aspen	47	65	0.784	0.215	0.298	0.851
paper.birch	54	39	0.853	0.462	0.333	0.937
eastern.hophornbeam	88	82	0.733	0.402	0.375	0.837
striped.maple	69	58	0.828	0.517	0.435	0.912
American.elm	61	65	0.82	0.431	0.459	0.887
sweet.birch	61	47	0.83	0.447	0.344	0.921
Norway.spruce	4	8	0.979	0.25	0.5	0.984
apple.spp.	20	26	0.897	0.115	0.15	0.938
American.basswood	59	43	0.82	0.372	0.271	0.918
green.ash	19	24	0.925	0.292	0.368	0.954
red.pine	16	9	0.956	0.444	0.25	0.987
northern.white.cedar	20	18	0.938	0.389	0.35	0.97
hawthorn.spp.	19	30	0.9	0.167	0.263	0.932
chestnut.oak	22	20	0.943	0.5	0.455	0.973
Scotch.pine	5	11	0.969	0.182	0.4	0.977
serviceberry.spp.	30	48	0.846	0.188	0.3	0.891
white.oak	31	36	0.874	0.25	0.29	0.925
bigtooth.aspen	23	34	0.884	0.176	0.261	0.923
American.hornbeam..musclewood	28	27	0.879	0.148	0.143	0.936
bitternut.hickory	23	24	0.915	0.292	0.304	0.954
black.ash	16	19	0.925	0.158	0.188	0.957
gray.birch	17	16	0.936	0.25	0.235	0.968
shagbark.hickory	25	31	0.877	0.129	0.16	0.926
pitch.pine	2	5	0.982	0	0	0.987
black.oak	18	20	0.918	0.15	0.167	0.954
pignut.hickory	14	20	0.928	0.15	0.214	0.955
white.spruce	3	5	0.979	0	0	0.987
scarlet.oak	8	9	0.961	0.111	0.125	0.979
eastern.redcedar	8	5	0.977	0.4	0.25	0.992
tamarack	8	12	0.959	0.167	0.25	0.974
silver.maple	7	7	0.969	0.143	0.143	0.984
pin.cherry	12	6	0.954	0	0	0.984
larch.spp.	1	2	0.992	0	0	0.995
black.locust	7	6	0.967	0	0	0.984
blackgum	5	6	0.977	0.167	0.2	0.987
swamp.white.oak	6	3	0.982	0.333	0.167	0.995
black.spruce	5	4	0.977	0	0	0.99
boxelder	1	3	0.99	0	0	0.992
black.walnut	8	6	0.964	0	0	0.984

Corrections

If you see mistakes or want to suggest changes, please create an issue on the source repository.

Citation

For attribution, please cite this work as

Gordon (2023, March 5). CAFRI Labs: GNN-SPP 0.0.1. Retrieved from https://cafri-labs.github.io/acceptable-growing-stock/posts/gnn-spp-001/

BibTeX citation

@misc{gordon2023gnn-spp,
  author = {Gordon, Sam},
  title = {CAFRI Labs: GNN-SPP 0.0.1},
  url = {https://cafri-labs.github.io/acceptable-growing-stock/posts/gnn-spp-001/},
  year = {2023}
}