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Zhu, Gengping Profile
Zhu, Gengping

@Gengping_

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338
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801

landscape ecology, insect niche and distribution modeling, functional insect, biodiversity and conservation, biological invasion, global change, microclimate

Pullman, WA
Joined May 2019
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@Gengping_
Zhu, Gengping
16 days
RT @JoachimSchork: Want to visualize between-group comparisons with added statistical insights? The ggbetweenstats() function from the ggst….
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@Gengping_
Zhu, Gengping
20 days
RT @mdancho84: The 3 types of machine learning (that every data scientist should know). In 3 minutes I'll eviscerate your confusion. Let'….
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8 days
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@Gengping_
Zhu, Gengping
25 days
RT @mdancho84: Random forest was wild to me. In 3 minutes, I'll share 3 weeks of research on Random Forest. Let's go: .
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@Gengping_
Zhu, Gengping
1 month
RT @JoachimSchork: The Kruskal-Wallis test is a non-parametric method used to determine if there are statistically significant differences….
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@Gengping_
Zhu, Gengping
1 month
RT @mdancho84: The concept that helped me go from bad models to good models: Bias and Variance. In 4 minutes, I'll share 4 years of exper….
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@Gengping_
Zhu, Gengping
1 month
RT @Gengping_: Check our recent paper, we show the devastating emerald ash borer has vast suitable habitat in the Pacific Northwest, it cou….
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academic.oup.com
Abstract. The emerald ash borer, Agrilus planipennis Fairmire (Coleoptera: Buprestidae), is a notorious invasive pest that can devastate ash trees, Fraxinu
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@Gengping_
Zhu, Gengping
1 month
Check our recent paper, we show the devastating emerald ash borer has vast suitable habitat in the Pacific Northwest, it could disperse into Washington within 2 yr, throughout western Oregon in 15 yr, and reach California in 20 yr.….
Tweet card summary image
academic.oup.com
Abstract. The emerald ash borer, Agrilus planipennis Fairmire (Coleoptera: Buprestidae), is a notorious invasive pest that can devastate ash trees, Fraxinu
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@Gengping_
Zhu, Gengping
1 month
RT @JoachimSchork: Mahalanobis distance measures how far a point is from a distribution while considering correlations between variables. U….
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@Gengping_
Zhu, Gengping
2 months
RT @selcukorkmaz: Understanding Mixed Effects Models: A Simple Example. Imagine researchers are testing a new drug to lower blood pressure.….
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@Gengping_
Zhu, Gengping
2 months
RT @mdancho84: Logistic Regression is the most important foundational algorithm in Classification Modeling. In 2 minutes, I'll crush your….
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@Gengping_
Zhu, Gengping
2 months
RT @JoachimSchork: Combining layers effectively is key to creating compelling plots in R. The ggblend package for ggplot2 allows you to ble….
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@Gengping_
Zhu, Gengping
2 months
RT @mdancho84: Understanding probability is essential in data science. In 4 minutes, I'll demolish your confusion. Let's go! https://t.c….
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@Gengping_
Zhu, Gengping
2 months
RT @bonebraking: New in @ScientificData - Spatial occurrence records and distributions of tropical Asian butterflies .
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nature.com
Scientific Data - Spatial occurrence records and distributions of tropical Asian butterflies
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@Gengping_
Zhu, Gengping
3 months
RT @JoachimSchork: In the realm of data analysis, adjusted R-squared stands as a vital tool, helping us navigate the complexity of statisti….
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@Gengping_
Zhu, Gengping
3 months
RT @JoachimSchork: When using Polynomial Regression, choosing the right degree for the polynomial is crucial for balancing model complexity….
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@Gengping_
Zhu, Gengping
4 months
RT @JoachimSchork: The four moments in statistics — mean, variance, skewness, and kurtosis — are essential for understanding the shape and….
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@Gengping_
Zhu, Gengping
4 months
RT @SigmaFacto: This single PDF has been on my desktop for over a decade and through multiple laptops. I just realize that I don't rely on….
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@Gengping_
Zhu, Gengping
4 months
RT @strnr: DataMap: a secure, browser-based ShinyLive application for visualizing high-dimensional 'omics and other data matrices with heat….
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@Gengping_
Zhu, Gengping
4 months
RT @JoachimSchork: Understanding the difference between correlation and regression is crucial in data analysis. While both concepts explore….
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