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Monte Carlo and Quasi Monte Carlo Approach to Ulam's Method for Position Dependent Random Maps

Autor: Md Shafiqul Islam

Publikováno v: Communications in Advanced Mathematical Sciences, Vol 3, Iss 4, Pp 173-185 (2020)

We consider position random maps $T=\{\tau_1(x),\tau_2(x),\ldots, \tau_K(x); p_1(x),p_2(x),\ldots,p_K(x)\}$ on $I=[0, 1],$ where $\tau_k, k=1, 2, \dots, K$ is non-singular map on $[0,1]$ into $[0, 1]$ and $\{p_1(x),p_2(x),\ldots,p_K(x)\}$ is a set of

Externí odkaz: https://doaj.org/article/706193889a614188b59efe12bf3950ce

Iteration of IID Random Maps on R +

Autor: Athreya, K. B.

Publikováno v: Lecture Notes-Monograph Series, 2003 Jan 01. 41, 1-14.

Externí odkaz: https://www.jstor.org/stable/4356204

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A new fractal index to classify forest fragmentation and disorder

Autor: Peptenatu Daniel, Andronache Ion, Ahammer Helmut, Radulović Marko, Costanza Jennifer K, Jelinek Herbert F., Di Ieva Antonia, Koyama Kohei, Grecu Alexandra, Gruia Andreea Karina, Simion Adrian-Gabriel, Nedelcu Iulia Daniela, Olteanu Cosmin, Drăghici Cristian-Constantin, Marin Marian, Diaconu Daniel Constantin, Fensholt Rasmus, Newman Erica A.

Publikováno v: Peptenatu, D, Andronache, I, Ahammer, H, Radulovic, M, Costanza, J K, Jelinek, H F, Di Ieva, A, Koyama, K, Grecu, A, Gruia, A K, Simion, A-G, Nedelcu, I D, Olteanu, C, Drăghici, C-C, Marin, M, Diaconu, D C, Fensholt, R & Newman, E A 2023, ' A new fractal index to classify forest fragmentation and disorder ', Landscape Ecology, vol. 38, pp. 1373–1393 . https://doi.org/10.1007/s10980-023-01640-y

Abstract Forest loss and fragmentation pose extreme threats to biodiversity. Their efficient characterization from remotely sensed data therefore has strong practical implications. Data are often separately analyzed for spatial fragmentation and diso

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::639a9e7f039d55846098beb55a2b6943
https://curis.ku.dk/ws/files/359040148/A_new_fractal_index_to_classify_forest_fragmentation_and_disorder.pdf