The special issue entitled “Developments in Quantitative Assessment and Modeling of Mineral Resource Potential” is composed 17 papers that cover a diverse range approaches to mineral resource assessment, including mainly multivariate statistical analysis, fractal multifractal modeling, geostatistical machine learning, mathematical morphology 3D exploration. This introductory article first provi...

This paper presents a comprehensive overview of the state of the art in software resource estimation. We describe common estimation methods and also provide an evaluation framework to systematically compare and assess alternative estimation methods. Though we have tried to be as precise and objective as possible, it is inevitable that such a comparison exercise be somewhat subjective. We howeve...

Despite the rich literature on quantum algorithms, there is a surprisingly small amount of coverage of their concrete logical design and implementation. Most resource estimation is done at the level of complexity analysis, but actual concrete numbers (of quantum gates, qubits, etc.) can differ by orders of magnitude. The line of work we present here is a formal framework to write, and reason ab...

Understanding how organisms selectively use resources is essential for designing wildlife management strategies. The probability that an individual uses a given resource, as characterized by environmental factors, can be quantified in terms of the resource selection probability function (RSPF). The present literature on the topic has claimed that, except when both used and unused sites are know...

In 2008-09, the mining sales value in Western Australia (WA) was AUD71.3 billion [1]. The resource industry continues to generate significant infrastructure investment and supply expansion developments in remote and arid regions of the state. The sector is also a major driver of liquid fuel demand growth, and currently represents approximately 40% of total transport fuel use, and around 60% (mo...

Streaming environments typically dictate incomplete or approximate algorithm execution, in order to cope with sudden surges in the data rate. Such limitations are even more accentuated in mobile environments (such as sensor networks) where computational and memory resources are typically limited. This paper introduces the first “resource adaptive” algorithm for periodicity estimation on a conti...