#Geographical Data

[pinolitas]

i have finally made a good decision. i am going to get a gis certificate but probably not until next fall cause i wanna do another semester of polish and ive seen the schedule of classes and it interferes with my polish class unfortunately. grad school for linguistics will be shelved for another year. i also am not confident i would get in with my gpa and the thought of having to write a thesis scares me.

[biologicalfandomhippo]

NOAA also operates 18 satellites, which are mostly weather and environmental tracking satellites (all those lovely radars and images they show on TV? That data the NWS uses? That's from these satellites.) but also includes the JASON mission, which tracks sea levels, and the DSCOVR, which gives 15-60 minute early warnings of solar storms that can disrupt phone, GPS, electrical grid, and aviation systems.

[detroitography]

Event: Special AAG Maptimes

In town for AAG 2025? WHAT: Come hang out with Detroit’s shadow geography department (that’s us) to talk Detroit, maps, and geography. Inside scoops, free snacks, and coffee! WHEN: March 24 and 26, 12-2pm WHERE: Prentis Building, 5201 Cass RSVP

[worldbuilding-tomfoolery]

Those giraffes were like FUCK Congo and the entire middle 1/3 of the continent!

[makingmapsblog]

Making Maps now at makingmaps.substack.com

[danishmurad68]

I will do gis mapping, spatial analysis, remote sensing, geospatial,satellite analyst

[mynameishedgehog]

shit, ran outta room in the tags so lets see if i can continue this up here, read the tags first then the read more if u want (im high rn so i got rambly)

i was almost done anyway

now we all know in our concious mind that its stereotyping to make comparisons like that

but those comparisons were drilled into us since we were kids.

is it right? no. can we change it once we know were doing it? yea of course, but not everyone is going to realize theyre dojng it, cause theyve been taught to.

Without fail

[inboundremblog]

Exploring Local Communities Through Carmel Zip Codes

Credit: Image by Republica | Pixabay

An Overview of Carmel Zip Codes and What They Offer

Imagine moving to a new city or planning a trip to an unfamiliar territory; without clear guidance, you may waste time searching for activities that match your interests. Well, the unsung heroes of geographical organization are zip codes! If you wish to explore the coastal area of the Monterey Peninsula and the beautiful Carmel-by-the-Sea, break it down into manageable parts to find what you're looking for with ease and precision. Here's an in-depth look at notable Carmel zip codes and what they offer.

What Are The Carmel Zip Codes?

Carmel Village itself and its surrounding areas are predominantly within the 93921 zip code. The more remote parts, such as Carmel Highlands and Carmel Valley, are zoned under 93923 and 93924 zip codes, depending on the specific area. These Carmel zip codes mark neighborhoods and districts and showcase unique lifestyles and attractions.

Why Use Carmel Zip Codes When Exploring?

Carmel’s zip codes help visitors and residents explore the area, understand its geography, and discover what each part offers.

Pinpoint Diverse Neighborhoods Carmel zip codes represent a unique aspect of living, from the bustling charm of downtown to the quiet luxury of cliffside communities or the sun-drenched appeal of inland areas.

Tailor Experiences to Preferences Carmel zip codes can guide you to areas with attractions that match your interests. Love the beach? Focus on 93921. Prefer vineyards and open spaces? Head to 93924.

Ease Real Estate Searches Homebuyers can use Carmel zip codes to target specific lifestyles, property types, and price ranges. These codes help streamline the search for their dream home, whether they seek a coastal cottage or a sprawling valley estate.

Discover Hidden Gems Carmel zip codes often include lesser-known spots that might not appear in general guides. For instance, 93922 offers serene hiking trails and stunning ocean views less heavily marketed than downtown Carmel's attractions.

Simplify Navigation Exploring the Carmel region using zip codes makes it easier to navigate, whether you're planning a trip or relocating.

Get To Know Carmel Zip Codes

93921: Carmel-by-the-Sea’s Storybook Charm

The 93921 Carmel zip code is inseparable from charming downtown and the surrounding neighborhoods. This area offers charming scenery of fairy-tale cottages, small-styled shops, and beautiful artistic galleries. Roads are easy to walk, and the neighborhood environment creates a village vibe, making it suitable for people who have retired, families, and working people.

Homes in this area range from small bungalows to multimillion-dollar estates. Dining options are abundant. Parking and home prices can be challenging, but the unique charm outweighs the drawbacks for many.

93923: Coastal Elegance of Carmel Highlands

93923 zip code covers Carmel Highlands, which is located to the south of Carmel-by-the-Sea. This area is affluent, with cliff homes and villas with breathtaking vistas of the Pacific Ocean from their balconies. Some rank among the most costly in the region and cater to luxury buyers.

Carmel Highlands appeals to those seeking tranquility and high-end living. The atmosphere is rural, the location is relatively secluded but it is only a few minutes’ drive from Carmel town proper. Places of interest include Point Lobos State Natural Reserve which offers trails as well as wildlife viewing opportunities.

93924: Carmel Valley’s Vineyards

Carmel Valley is famous for its sunny weather and wine-country vibes. Bernardus and Holman Ranch wineries are among the many that make this area a wine-lover destination. In addition to vineyards, golf courses, and equestrian properties define the area.

Homes in 93924 often have large lots, perfect for anyone seeking a quiet retreat. They are less expensive than coastal Carmel but require a longer commute to the beach and shopping centers.

93920: Big Sur’s Rugged Beauty

The 93920 zip code includes Big Sur, which is famed for its stunning topography along the edges of the ocean. Due to its aforesaid features, this region is perfect for those who are in search of solitude and stunning landscapes. Many houses rest at the cliff edges affording extraordinary views of the sea.

Big Sur is a haven for artists, nature enthusiasts, and those who crave privacy. However, living here means limited access to amenities. Residents often travel to Carmel or Monterey to shop and dine.

93940: Monterey’s Urban Convenience

93940 includes Monterey. Though not part of defined Carmel zip codes, it is definitely close. This area is ideal for those who want proximity to downtown Monterey, Cannery Row, and the Monterey Bay Aquarium.

Homes here range from historic Victorians to modern condos, catering to various budgets. The area boasts excellent schools, parks, and family-friendly activities. Monterey’s vibrant cultural scene and stunning bay views make it a desirable destination.

93950: Pacific Grove’s Coastal Retreat

The 93950 zip code covers Pacific Grove, located just north of Carmel. This charming seaside community features historic homes, coastal trails, and a laid-back lifestyle.

The Lovers Point Park and Asilomar State Beach are favorite spots for outdoor activities. Homes here are more affordable than those with Carmel zip codes, attracting families, retirees, and first-time buyers.

93953: Exclusive Pebble Beach Living

Pebble Beach is an internationally renowned community. This area is synonymous with prestige and is known for its luxury estates and world-class golf courses. Residents enjoy gated privacy, stunning ocean views, and access to the famous 17-mile Drive.

Pebble Beach is perfect for golf enthusiasts and affluent buyers looking for exclusivity. The area’s top-tier schools and peaceful surroundings also attract families. With high property values and HOA fees, living here requires a significant financial commitment. However, for those who can afford it, Pebble Beach offers unparalleled luxury.

93955: Affordable and Accessible Seaside

Seaside is just north of Monterey. This area is one of the more affordable options near Carmel zip code addresses. It is a practical and budget-friendly option for coastal living.

It has a mix of older homes, newer developments, and some apartments. It is close to California State University Monterey Bay and Fort Ord National Monument.

Wrap Up

Carmel’s zip codes offer distinct lifestyles, from rugged beauty to unparalleled luxury. Whether you prioritize affordability, exclusivity, or proximity to nature, the Monterey Peninsula has something for everyone. Understanding what each zip code offers can help you find the perfect fit for your needs.

Visit https://heinrichbrooksher.com/zip-code-map/ to explore the unique neighborhoods defined by Carmel zip codes and find your perfect coastal home today.

Explore the stunning coastal neighborhoods, lifestyles, and attractions with our complete Carmel zip code guide!

[cyberswift-story]

Enhancing Gas Pipeline Management with GIS: Key Benefits and Applications

In the energy and utilities sector, gas pipeline management is complex, requiring precision, safety, and a clear strategy for both existing infrastructure and future expansion. Geographic Information Systems (GIS) have revolutionized pipeline management by providing a spatially accurate, data-rich view of assets. From asset management and leak detection to route planning and demand forecasting, GIS is becoming indispensable for gas companies. This blog delves into the ways GIS transforms gas pipeline management, delivering benefits across safety, efficiency, cost-saving, and planning.

[soupcrouton]

Im gonna go CRAZY

[jcmarchi]

The changing geography of “energy poverty”

New Post has been published on https://thedigitalinsider.com/the-changing-geography-of-energy-poverty/

The changing geography of “energy poverty”

A growing portion of Americans who are struggling to pay for their household energy live in the South and Southwest, reflecting a climate-driven shift away from heating needs and toward air conditioning use, an MIT study finds.

The newly published research also reveals that a major U.S. federal program that provides energy subsidies to households, by assigning block grants to states, does not yet fully match these recent trends.

The work evaluates the “energy burden” on households, which reflects the percentage of income needed to pay for energy necessities, from 2015 to 2020. Households with an energy burden greater than 6 percent of income are considered to be in “energy poverty.” With climate change, rising temperatures are expected to add financial stress in the South, where air conditioning is increasingly needed. Meanwhile, milder winters are expected to reduce heating costs in some colder regions.

“From 2015 to 2020, there is an increase in burden generally, and you do also see this southern shift,” says Christopher Knittel, an MIT energy economist and co-author of a new paper detailing the study’s results. About federal aid, he adds, “When you compare the distribution of the energy burden to where the money is going, it’s not aligned too well.”

The paper, “U.S. federal resource allocations are inconsistent with concentrations of energy poverty,” is published today in Science Advances.

The authors are Carlos Batlle, a professor at Comillas University in Spain and a senior lecturer with the MIT Energy Initiative; Peter Heller SM ’24, a recent graduate of the MIT Technology and Policy Program; Knittel, the George P. Shultz Professor at the MIT Sloan School of Management and associate dean for climate and sustainability at MIT; and Tim Schittekatte, a senior lecturer at MIT Sloan.

A scorching decade

The study, which grew out of graduate research that Heller conducted at MIT, deploys a machine-learning estimation technique that the scholars applied to U.S. energy use data.

Specifically, the researchers took a sample of about 20,000 households from the U.S. Energy Information Administration’s Residential Energy Consumption Survey, which includes a wide variety of demographic characteristics about residents, along with building-type and geographic information. Then, using the U.S. Census Bureau’s American Community Survey data for 2015 and 2020, the research team estimated the average household energy burden for every census tract in the lower 48 states — 73,057 in 2015, and 84,414 in 2020.

That allowed the researchers to chart the changes in energy burden in recent years, including the shift toward a greater energy burden in southern states. In 2015, Maine, Mississippi, Arkansas, Vermont, and Alabama were the five states (ranked in descending order) with the highest energy burden across census bureau tracts. In 2020, that had shifted somewhat, with Maine and Vermont dropping on the list and southern states increasingly having a larger energy burden. That year, the top five states in descending order were Mississippi, Arkansas, Alabama, West Virginia, and Maine.

The data also reflect a urban-rural shift. In 2015, 23 percent of the census tracts where the average household is living in energy poverty were urban. That figure shrank to 14 percent by 2020.

All told, the data are consistent with the picture of a warming world, in which milder winters in the North, Northwest, and Mountain West require less heating fuel, while more extreme summer temperatures in the South require more air conditioning.

“Who’s going to be harmed most from climate change?” asks Knittel. “In the U.S., not surprisingly, it’s going to be the southern part of the U.S. And our study is confirming that, but also suggesting it’s the southern part of the U.S that’s least able to respond. If you’re already burdened, the burden’s growing.”

An evolution for LIHEAP?

In addition to identifying the shift in energy needs during the last decade, the study also illuminates a longer-term change in U.S. household energy needs, dating back to the 1980s. The researchers compared the present-day geography of U.S. energy burden to the help currently provided by the federal Low Income Home Energy Assistance Program (LIHEAP), which dates to 1981.

Federal aid for energy needs actually predates LIHEAP, but the current program was introduced in 1981, then updated in 1984 to include cooling needs such as air conditioning. When the formula was updated in 1984, two “hold harmless” clauses were also adopted, guaranteeing states a minimum amount of funding.

Still, LIHEAP’s parameters also predate the rise of temperatures over the last 40 years, and the current study shows that, compared to the current landscape of energy poverty, LIHEAP distributes relatively less of its funding to southern and southwestern states.

“The way Congress uses formulas set in the 1980s keeps funding distributions nearly the same as it was in the 1980s,” Heller observes. “Our paper illustrates the shift in need that has occurred over the decades since then.”

Currently, it would take a fourfold increase in LIHEAP to ensure that no U.S. household experiences energy poverty. But the researchers tested out a new funding design, which would help the worst-off households first, nationally, ensuring that no household would have an energy burden of greater than 20.3 percent.

“We think that’s probably the most equitable way to allocate the money, and by doing that, you now have a different amount of money that should go to each state, so that no one state is worse off than the others,” Knittel says.

And while the new distribution concept would require a certain amount of subsidy reallocation among states, it would be with the goal of helping all households avoid a certain level of energy poverty, across the country, at a time of changing climate, warming weather, and shifting energy needs in the U.S.

“We can optimize where we spend the money, and that optimization approach is an important thing to think about,” Knittel says. 

[vastedge330]

Choosing the right cloud disaster recovery solution requires careful consideration of factors like Recovery Point Objectives (RPO), Recovery Time Objectives (RTO), data security, scalability, cost, and vendor reliability. Implementing best practices can minimize downtime and data loss, ensuring that businesses remain resilient during disasters.

[prokopetz]

About twenty years back, there was this weird transitional period after companies had figured out that harvesting their users' demographic information was a potential gold mine but before we lived in a hellish panopticon where any website operator could look up your IP address and know what you had for breakfast where some sites would try to get you to fill out, like, detailed demographic surveys before they'd let you access their stuff. Not just age, gender and geographic location, either – some of them would fish for employment status, marital status, brand preferences, even religious affiliation. A lot of folks I knew would just pick the first option in every dropdown, but my move was always to fill in the demographic information of the current Pope, at least as far as I was able to determine it (brand preference was always a tricky one). I like to think that, thanks to my efforts, their data sets are haunted to this day by a phantom pontiff.

[somecunttookmyurl]

yeah yeah sampling bias whatever but what i'm interested in is how @staff is purporting to know the numbers. it's not like you tick a box when you sign up

going based on the content you post/engage with is... literally just guessing. twitter thought i was straight and facebook thinks i'm a lesbian despite being in a relationship with a man. it's a guess and not a very good one.

were the bots excluded from those numbers? what about inactive blogs

etc etc etc

With @staff 's recent post saying 1/4 of this site is LGBTQ going around, I'd like to see what the actual demographic is

So!

Please reblog for bigger sample size!

[rosielindy]

Current rabbit hole… looking for election maps and landed here for a while. Getting better at creating good visualizations is an active goal. Such a great skill to do well.

[thingsiwishihadknownsooner]

"Greenland: No Data"