地理不是命运:对钻石方向轴假设的定量测试
Angela M Chira1,2, Russell D Gray2,3, Carlos A Botero1,4
1Department of Biology, Washington University in St Louis, St Louis, Missouri, USA.
Evolutionary human sciences
|January 26, 2024
概括
欧亚大陆的东西方向可能无法解释其优势. 虽然类似的生态与共同的文化特征相关,但欧亚大陆并不是独特的同质,挑战单一因素的历史解释.
科学领域:
- 人类学是人类学.
- 生态生态学 生态生态学
- 历史地理 历史地理
背景情况:
- 贾雷德·戴蒙德的假设认为,欧亚大陆的东西轴促进了文化传播和优势.
- 这一理论依赖于在类似息地之间更容易传播的假设和度环境均性的假设.
- 对这些假设的定量测试是有限的.
研究的目的:
- 量化测试贾雷德·戴蒙德关于欧亚例外论的假设的基础假设.
- 调查全球生态相似性和文化特征共享之间的关系.
- 评估整个大陆地区的环境同质性程度.
主要方法:
- 使用生态,文化和语言数据集进行全球范围的分析.
- 统计建模以评估共享生态和共享文化特征之间的相关性.
- 对各大洲环境同质性的比较分析.
主要成果:
- 具有相似生态的社会更有可能分享文化特征.
- 欧亚大陆在生态上并不比其他大陆地区更加均.
- 东西导向在文化传播中的作用并未得到环境的显著均性的支持.
结论:
- 虽然生态相似性影响文化共享,但欧亚大陆的环境同质性并不完全支持其假设的优势.
- 该研究提醒人们不要对复杂的历史发展作出单一因素解释.
- 严格的测试对于验证影响人类历史理解的假设至关重要.
相关概念视频
Three-Dimensional Analysis of Strain
217
Three-dimensional strain analysis is crucial for understanding how materials deform under stress, particularly in elastic, homogeneous materials. This method employs principal stress axes to simplify complex stress states into more understandable forms. Subjected to stress, a small cubic element within a material either expands or contracts along these axes, transforming into a rectangular parallelepiped. This transformation effectively illustrates the material's deformation. The principal...
217
Collisions in Multiple Dimensions: Problem Solving
4.2K
In multiple dimensions, the conservation of momentum applies in each direction independently. Hence, to solve collisions in multiple dimensions, we should write down the momentum conservation in each direction separately. To help understand collisions in multiple dimensions, consider an example.
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
A small car of mass 1,200 kg traveling east at 60 km/h collides at an intersection with a truck of mass 3,000 kg traveling due north at 40 km/h. The two vehicles are locked together. What is the...
4.2K
Test for Homogeneity
2.0K
The goodness–of–fit test can be used to decide whether a population fits a given distribution, but it will not suffice to decide whether two populations follow the same unknown distribution. A different test, called the test for homogeneity, can be used to conclude whether two populations have the same distribution. To calculate the test statistic for a test for homogeneity, follow the same procedure as with the test of independence. The hypotheses for the test for homogeneity can...
2.0K
Perpendicular-Axis Theorem
2.8K
The perpendicular-axis theorem states that the moment of inertia of a planar object about an axis perpendicular to its plane is equal to the sum of the moments of inertia about two mutually perpendicular concurrent axes lying in the plane of the body.
Consider a circular disc of mass M and radius R lying along an x-y plane. The origin lies at the center of the disc, and the z-axis is perpendicular to the disc's plane. All three axes coincide at the disc's center. The moment of inertia of this...
Consider a circular disc of mass M and radius R lying along an x-y plane. The origin lies at the center of the disc, and the z-axis is perpendicular to the disc's plane. All three axes coincide at the disc's center. The moment of inertia of this...
2.8K
Transformation of Plane Stress
230
Studying stress transformation is essential in understanding how stress components within a material, like a cube under plane stress, change with rotation. This change is analyzed by considering a prismatic element within the cube. As the element rotates, the stress components acting on it—both normal and shearing stresses—change in magnitude and orientation. This change is quantified using trigonometric functions of the rotation angle, relating the forces acting on the rotated element's...
230
Hypothesis Test for Test of Independence
3.6K
The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
H0: The two variables (factors)...
3.6K


