Integrating multiple data sources in species distribution modeling: a framework for data fusion*
نویسندگان
چکیده
منابع مشابه
modeling loss data by phase-type distribution
بیمه گران همیشه بابت خسارات بیمه نامه های تحت پوشش خود نگران بوده و روش هایی را جستجو می کنند که بتوانند داده های خسارات گذشته را با هدف اتخاذ یک تصمیم بهینه مدل بندی نمایند. در این پژوهش توزیع های فیزتایپ در مدل بندی داده های خسارات معرفی شده که شامل استنباط آماری مربوطه و استفاده از الگوریتم em در برآورد پارامترهای توزیع است. در پایان امکان استفاده از این توزیع در مدل بندی داده های گروه بندی ...
Building Extraction from Multiple Data Sources: a Data Fusion Framework for Reconstruction of Generic Models
Automated building extraction from multi-source data has attracted great attention in recent years. This paper presents an approach to automated building extraction by fusion of image data, height data and 2D ground plans. In this approach buildings are detected using ground plans and height data. A split-and-merge process is applied to fuse image and height data and derive the parametric forms...
متن کاملMiro Web: Integrating Multiple Data Sources through Semistructured Data Types
The MIROWeb Esprit project has developed a unique technology to integrate multiple data sources through an object-relational model with semistructured data types. It addresses the problem of integrating irregular Web sources and regular relational databases through a mediated architecture based on a hybrid model, supporting relational, object and semistructured features. The project data exchan...
متن کاملData Fusion: Resolving Conflicts from Multiple Sources
Many data management applications, such as setting up Web portals, managing enterprise data, managing community data, and sharing scientific data, require integrating data from multiple sources. Each of these sources provides a set of values and different sources can often provide conflicting values. To present quality data to users, it is critical to resolve conflicts and discover values that ...
متن کاملBayesian Data Fusion: a Reliable Approach for Descriptive Modeling of Ore Deposits
Recognition of ore deposit genesis is still a controversial challenge for economic geologists. Here, this task was addressed by the virtue of Bayesian data fusion (BDF) implementing available proofs: semi-schematic examples with two (Cu and Pb + Zn) and three (Cu, Pb + Zn and Ag) evidences. The data, in current paper are just concentrations of indicated elements, were collected from Angouran’s ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Ecology
سال: 2017
ISSN: 0012-9658,1939-9170
DOI: 10.1002/ecy.1710