SESH.sxANALOG IMPAKT FESTIVAL 2026 @ Zoo - 12 Feb feat. Salomé DV, SamC
NB-SideQuestWir wollten eigentlich nur Pakete liefern — jetzt cruisen wir durch Schnee, weird vibes und 95% Steam-Liebe. Easy Delivery Co. ist cozy… aber irgendwie auch *sus* ❄️🚚✨
#EasyDeliveryCo #SamC #Gaming #GameNews #IndieGame #HorrorGame #NBSideQuest
https://www.nbsidequest.at/easy-delivery-co-100k-cozy-lieferfahrten-sprach-update/
Easy Delivery Co. – 100K cozy Lieferfahrten & Sprach-Update - NB-SideQuest
„Cozy Trucking trifft seltsames Wetter“ – Easy Delivery Co. rollt weiter durch den Schnee und hat dabei mächtig Fahrt aufgenommen.Über 100.000 verkaufte Kopien im ersten Monat und jetzt ein freshes Sprach-Update inklusive Deutsch?Yes please. 🧣❄️ Easy Delivery Co. liefert – und jetzt noch bequemer weltweit.Das neue Update bringt vollständige Lokalisierungen in u.a.: Dazu weiter im […]
Playing Games『Easy Delivery Co.』が日本語に対応。かわいい黒猫が最低賃金以下で働くローポリ配達ドライブゲーム https://www.playing-games.com/858506/ #EasyDeliveryCo. #Game #GameNews #GamingNews #OroInteractive #PC #SamC #steam #ゲーム #ゲーム最新情報 #ニュース #はくまいさん
YAYAFA『Easy Delivery Co.』が日本語に対応。かわいい黒猫が最低賃金以下で働くローポリ配達ドライブゲーム https://www.yayafa.com/2609743/ #EasyDeliveryCo. #OroInteractive #PC #SamC #SCIENCE #Science&Technology #Steam #Technology #テクノロジー #ニュース #はくまいさん #科学 #科学＆テクノロジー
🚚 Easy Delivery Co. – cozy Liefer-Sim mit Kei-Truck & Retro-Grafik!
Offiziell gibt’s keine Geheimnisse in dieser Bergstadt… aber wir glauben das irgendwie nicht.
👉 Release am 18.09.
『Easy Delivery Co.』9月18日に発売決定。「最低賃金未満」で働くネコのドライブ配達ゲーム https://www.playing-games.com/793684/ #EasyDeliveryCo. #Game #GameNews #GamingNews #OroInteractive #SamC #steam #ゲーム #ゲーム最新情報 #ドライブゲーム #ニュース #ヨシムネ
Andrew MarxI've been learning how to use Manim to create math animations. This is my attempt to animate net visitation, or movement flow, from the samc R package. Background grid is the net visitation map, which is really an aggregate of directional components. The moving lines are somewhat better at showing those components (with some significant caveats). #samc #Manim
Version 4 of the samc R package is now available on CRAN. Input options for net visitation (aka movement flow, aka 'current' in Circuitscape) are now fully comprehensive. #samc #rstats https://andrewmarx.github.io/samc/news/index.html
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livusVietnam steps up labour union cooperation with Brazil, Peru, Uruguay
President of the Vietnam General Confederation of Labour (VGCL) Nguyen Dinh Khang has engaged in discussions with representatives of labour unions from Brazil, Peru, and Uruguay, as part of his working trip to South America and attendance to the second conference of the World Federation of Trade Unions (WFTU) Presidential... #peru #uruguay #brazil #vietnam #labour #cgtp #samc #pcp #ctc #unions #southamerica #southeastasia #wftu #vgcl #worldnews #worldwithoutus
New paper illustrating how to incorporate dispersal biology with landscape connectivity. Includes an example using the #samc package to illustrate the consequences for connectivity between several subpopulations of Florida black bears
https://link.springer.com/article/10.1007/s10980-023-01741-8
A framework for linking dispersal biology to connectivity across landscapes - Landscape Ecology
Context Dispersal typically consists of three components—departure, transience and settlement—each of which can be influenced by the landscape. A fundamental aspect of dispersal is the dispersal kernel, which describes how the likelihood of settlement varies as a function of the distance from the departure location. Dispersal concepts are often closely connected to the interpretation of landscape connectivity, yet models of landscape connectivity often do not generate dispersal kernels nor explicitly capture the three components of dispersal. Objectives We apply Markov chain theory for the generation of random-walk dispersal kernels that are based on the three components of dispersal to better link dispersal processes to landscape connectivity. Methods We extend the spatial absorbing Markov chain (SAMC) framework, which is aimed at addressing a broad range of problems in landscape connectivity, to explicitly model dispersal kernels that acknowledge each component of the dispersal process and how the landscape can alter each of these components. We provide an example with the Florida black bear (Ursus americanus floridanus), a species of conservation and management concern, where we contrast expected connectivity between key subpopulations when models do and do not consider random-walk dispersal kernels. Results Our extensions show how the SAMC can generate different types of random-walk kernels that include information on how the landscape alters departure, transience and settlement processes. Importantly, this framework can also readily incorporate mortality into predictions and be applied to make time-explicit predictions across landscapes. Connectivity for the Florida black bear is predicted to be much lower when acknowledging dispersal kernels and suggests that the settlement process may be more influential to connectivity predictions than landscape resistance. Conclusion These results provide a foundation for applying the SAMC to dispersal kernels. Not only do these extensions provide a formal linkage of connectivity to concepts in dispersal biology, but also help to bring together concepts from common connectivity models (e.g., circuit theory and least-cost resistant kernels) to facilitate predicting connectivity across landscapes.