While infrastructure is improving in Southeast Asia and budget flights are increasingly commonplace, it’s still easy to underestimate the time and distances involved, especially if your goal is to travel mostly overland. Not to mention, traveling long distances can be tiring!
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And when you’re frantically pinballing around the region, you’re likely to experience most places only fleetingly.Ĭutting back and streamlining your itinerary can actually improve your trip. Why? Well, you would probably need another holiday just to recover from such a hectic schedule. It’s technically possible, but I don’t recommend it. Readers often ask me if, say, three weeks is enough to see Thailand, Laos, Cambodia, and Vietnam. Personally, I think it’s often better to pace yourself. If your answer is still the former, that’s okay! Not everyone likes to travel the same way.
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Think about it: do you want to see loads of stuff only very superficially (and tire yourself by continually moving from place to place in a hurry)? Or do you want to pick a more realistic number of places and then see them in a more meaningful way? But unless you have all the time in the world, chances are your route is already too ambitious. I know you’ll be intensely tempted to include every highlight listed in your travel guide. This is easily the most important tip I can share about creating your route for Southeast Asia. It’s expected these popular overland bus routes will be restored by Q4 2022 in time for tourist high season. Certain long-distance cross-border bus journey (such as Ho Chi Minh City or Bangkok to Cambodia) are still suspended, so these sections will require flying or using shared taxis or minivans. This site always has the latest info on the coronavirus rules in Southeast Asia. Generally you need to be fully vaccinated to enter freely. Thailand, Cambodia, Vietnam, Laos, Malaysia, Indonesia, and The Philippines have all reopened. We’ll also talk about the infamous Banana Pancake trail: what it is exactly, and how you can follow (or not follow) it while traveling around Southeast Asia.
#Lesson 6.8 any way you slice it answers how to
Having traveled in the region many times now, I’ll share here my best tips on how to plan a route. However, there is much more to see than you might be able to cover in one trip. You’ll often find other travelers going down these lines, hitting up some of the region’s top sights. The above map shows the key Southeast Asia backpacking routes. Your only challenge will be in deciding where to go and how much time to spend in each place.
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Rest assured, it’s also entirely possible to have a fantastic experience lasting a couple of weeks or months. You can spend all that time (or more!) in this region, never get bored, and still barely scratch the surface. My first-ever backpacking trip to Southeast Asia lasted a whopping nine months, roughly following the so-called “Banana Pancake trail”. Honestly, as much time as you possibly have. Eventually, it concludes with the grand challenges and reveals the opportunities to give some guidance and pre-warnings on allocating resources wisely to achieve the ambitious Earth AI goals in the future.“But how much time do you need to see Southeast Asia?”, you might ask. The mandatory steps in a typical workflow of specializing AI to solve Earth scientific problems are decomposed and analyzed. Widely used AI algorithms and computing cyberinfrastructure are briefly introduced. The paper covers all the majorspheres in the Earth system and investigates representative AI research in each domain. It holistically introduces the current status, technology, use cases, challenges, and opportunities, and provides all the levels of AI practitioners in geosciences with an overall big picture and to “blow away the fog to get a clearer vision” about the future development of Earth AI. This paper presents work led by the NASA Earth Science Data Systems Working Groups and ESIP machine learning cluster to give a comprehensive overview of AI in Earth sciences. In recent years, Earth system sciences are urgently calling for innovation on improving accuracy, enhancing model intelligence level, scaling up operation, and reducing costs in many subdomains amid the exponentially accumulated datasets and the promising artificial intelligence (AI) revolution in computer science.