• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Evolutionary behavioral sciences >Spatial Dependency in Local Resource Distributions
【24h】

Spatial Dependency in Local Resource Distributions

机译：空间依赖当地资源的分布

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

We investigated the spatial patterns of different classes of resources in a familiar local environment. Past psychological research investigating why humans are so prone to misunderstand random data sets has typically focused on empirical resource distributions of equal base rates and squared arrangements—such as a 10 × 10 grid with resource spots that have 50 resources/tokens in it—to compute alternation probabilities that indicate the degree of spatial aggregation, randomness, or dispersion. We propose to incorporate a new statistical methodology from the spatial ecology literature to overcome these 2 limitations. Over recent semesters, we observed and coded various resources near our university campus from both developed and natural domains, such as seats taken at a café and in a restaurant, occupied parking spots, group members of geese and cows groupings, and patterns of wilderness, wild forest, and water in the nearby Adirondack State Park. Our data collection methodology for this exploratory study included the use of resource-specific coding sheets, flying of an aerial drone to obtain video footage of the animal distributions, and extracting patterns of land use from published New York State map data. Our results extend the available statistical tools for randomness research and provide novel evidence that natural resource domains indeed show more aggregated distribution patterns than those from human-developed resource domains. We discuss our results in light of claims that our ancestral human cognitive evolution selected for specific reasoning mechanisms to detect resources that are distributed in clumps or patches in space and time.
机译：我们研究了不同的空间格局类的资源在一个熟悉的地方环境。调查为什么人类如此容易随机数据集通常误解专注于实证资源分布基准利率和方arrangements-such相等10×10的网格和资源点50资源/令牌,这样计算交替概率表示空间的程度聚合、随机性或分散。提出将一种新的统计方法从空间生态文学为了克服这两个限制。学期,我们观察和编码不同我们的大学校园附近资源发达国家和自然领域,比如席位在一个咖啡馆和餐厅,占领停车位,小组成员的鹅和奶牛分组,和模式的旷野,野外森林,在附近的阿迪朗达克和水的状态公园。探索性研究包括使用特定于资源编码表,飞行的空中无人机获取的视频动物分布,提取的模式土地利用从纽约州地图数据公布。我们的研究结果扩展可用的统计随机性研究工具,并提供小说自然资源领域确实的证据显示更多比聚合分布模式那些来自human-developed资源领域。讨论我们的研究结果声称我们的光远古人类认知进化选择具体的推理机制来检测资源分布在块状或补丁空间和时间。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号