fabiochiu/medium-articles huggingface dataset:
Sync Visas | When Globes Can Be Useful
By: Sync Visas Reviews
Tags: Sync Visas Uae Reviews, Sync Visas Dubai, Maps, Sync Visas Uae, Sync Visas Reviews

Globes are maps, which are three-dimensional. They show the world as it truly is, round. When looking at a flat map of the earth, a person gets an unclear perception of the earth and the distance between places. When the world is depicted on a flat surface, the information contained on it is distorted, for instance, places are stretched out and may appear much larger than they really are

For children learning about the world, a globe is a wonderful tool in teaching them about our Earth, where places are located, and how far apart they are. They can get a clear understanding that our Earth is one great big ball that is connected on all sides, not a flat that ends on either side. In the days of Columbus, it was argued that the earth was flat, while this idea seems silly now, for small children who have never been introduced to a globe but have seen maps may very easily get the same impression.

Globes are not only useful for teaching children about the world, but they are also important for travelers. Many people do not realize how useful globes can be when planning a trip, particularly by air. Traditionally it is said that the shortest distance between two points is a straight line. However, people that have looked at flight paths before, see that airlines very rarely set out on a straight line they curve. Why is that? You would think that the airline would want to get to the destination as quickly as possible. The fact is they are, usually. Try this experiment if a globe or other ball is available. Decide on a starting point and an end point. Pull a string from each point in a straight line, and measure how long the string is, and then do the same thing only adding a curve, taking after a typical flight plan. You will see that the amount of string used this time is shorter. The reason for this is a simple fact, the world is round, and the shortest distance between two points on a round object is a curved line.

Most people would not dream of carrying a globe with them in place of an easy to fold, travel map, and with good reason. Globes are bulky and do not have the detailed information needed to travel from one point to the next. That is not what they are meant for. Travel maps are the appropriate choice for people who need to know how to get from one place to the next. A globes purpose is to show where places are in relation to each other, in a global sense.

Each type of map, whether flat or round is meant for a specific purpose and used to obtain different types of information. Just as it would be silly to use a globe in place of a good road map while traveling by car, it is clear that it would be just as silly for airlines to use a flat map when deciding on flight paths.
Chris Incardona Joins Native as VP, Public Sector
By: Matt Mcnabb
Tags: Startup, Market Research, Native, Maps, Team

Today I am thrilled to welcome Chris Incardona to the team as Native’s new Vice President for the Public Sector, based in our Washington, DC office. Chris is an exceptionally talented, well respected leader in the industry. We couldn’t be more pleased that he’ll be driving forward our work across the global public sector.

Chris brings to Native over 25 years of experience with some of the most advanced commercial data and analytics providers in the world. Most recently he served as Vice President for Strategic Development at Orbital Insight, a first rate high-growth partner company applying artificial intelligence to remote sensing that we couldn’t respect more. Before Orbital, Chris worked with a range of leading companies, including Airbus, Boeing, GeoEye, and DigitalGlobe (MAXAR).

With offices in New York, Washington DC, London, and Bogotá, Native manages a global fleet of local data collectors on nearly every continent, across a multitude of languages. We are accelerating this approach to the geospatial analytics and market research industries by delivering the same on-demand economy widely used for ridesharing or food delivery, to on-the-ground data. The experience Chris brings to the table will be instrumental in bringing the advanced capabilities we’ve developed into the hands of those governments, researchers, humanitarians, and international organizations that need it most.

We couldn’t be more enthusiastic to have Chris on the team.
SMETS1 meters may have a MAP but they can still get lost
By: Kevin Bird
Tags: Map, Smets1, Dcc, Smart Meter

I touched on some of the problems around SMETS2 firmware in in a previous post. At the risk of sounding fixated, firmware raises its head again in this piece — but, this time, with reference to SMETS1 and the less than smooth process of enrolling and adopting SMETS1 meters into the DCC.

Let’s take a look at the adoption process. I’m simplifying things slightly but I believe these are the key steps:

BEIS Decides which meters and variants are going to be Enrolled and Adopted by the DCC

Before adoption, the SMETS1 firmware must be updated to a version the DCC finds acceptable

The qualifying devices undergo enrolment (at this stage, these devices will disappear from the head end and then — magically — appear in DCC inventory some time later)

Bonus Step — If the SMETS1 meters fail the enrolment, they are usually taken off the wall and replaced with a SMETS2 meter.

Two things to bear in mind, here. Firstly, if I’m a MAP, how do I know what’s happening — and when? Secondly, if I’m a traditional MAP who tracks SMETS1 meters by serial number, what do I do when they hit DCC and all I get to see are Device IDs — if I have any DCC reports at all? (And you can’t try and compare by firmware because it was probably upgraded since you last received any sort of head end report.)

Depending of the delivery frequency of the report on their devices from the head end, a MAP may believe that one of its SMETS1 meter portfolio has been disconnected one month to the next because they have no visibility that it has been enrolled in the adoption process.

And without access to the DCC inventory, the MAP may never know whether a meter has been successfully adopted or simply discarded and replaced.

So, how is the MAP supposed to follow the progress — or failure — of the adoption of its SMETS1 portfolio?

This is not simply a matter of data quality: for the MAP failed adoption can have serious financial implications. Why, then, has the MAP apparently been forgotten in the whole adoption and enrolment process?

As you might guess, in the absence of any help for MAPs from the DCC, we’ve put together a reporting tool that will provide the visibility of the adoption process that a MAP needs to stay on top of the practical — and financial — implications.

More details next time but feel free to contact us now to discuss what you’ll get from the reports and how to access them.
BikeSpot 2020 Top 5 Findings and Results
By: Anthony Aisenberg
Tags: Cycling, Crowdsourcing, Maps, Safety, Data

A lack of safety is widely recognised as the major barrier to people getting on their bikes. How it feels to ride a bicycle has an impact on people’s willingness to ride.

BikeSpot 2020 provided the opportunity for all Victorians to share their perceptions of cycling safety at different locations (by adding Safe or Unsafe Spots to the map via a web-based interactive map) and help develop new insights for the prioritisation of cycling safety improvements.

BikeSpot 2020 was developed by CrowdSpot in close collaboration with the Amy Gillett Foundation and 12 official Government project partners.

BikeSpot 2020 Screenshot

The map was open for submissions (spot, comments or ‘likes’) for 2 months between 31 March — 31 May 2020.

In addition to the full report and interactive archive map links, below are our top 5 findings.

View data via the interactive archive map

Link to BikeSpot 2020 report

Link to interactive archive map

Our Top 5 findings:

1. Cyclists and drivers want dedicated space from other transport modes

2. Traffic speed causes the most stress for cyclists

(followed by ‘Too much vehicle traffic’ and ‘Car dooring’ fears).

3. Want more confident riders? — Build a connected network

‘Interested but concerned’ cyclists (least experienced / least confident cyclists) rank on average ‘Cycle lane ends’ as their top stress experience.

4. Fear of car dooring — a daily concern

Top submitted fears that cyclists experience multiple times per week.

5(a). Top 10 Unsafe Spots — Transport corridors surrounding the Melbourne CBD are the biggest issues

Top 10 Unsafe Spots

5(b). Top 10 Safe Spots — Recognising the best separated and off-road paths

Top 10 Safe Spots

Media

The Age — 2 July 2020

Broadsheet — 17 May 2020

The Age — 14 May 2020

Riverine Herald — 4 May 2020

3CR Yarra BUG Radio Show — 20 April 2020

Herald Sun — 31 March 2020

3AW Breakfast Radio Interview — 31 March 2020
Customize your style by adding or removing style components
Tags: Studio, Maps, Map Designer, Product

To make style editing more flexible, we’ve released the ability to add or remove style components in your style in Studio.

Style components are groups of associated layers that represent common cartographic features such as “Roads” or “Place labels”. Components simplify hundreds of possible map styling decisions into a curated set of controls.

With the ability to add and remove components, you can assemble our 11 style components like building blocks to control the level of detail your map needs.

For example, you can add the Terrain component to add depth to the Monochrome template. Or, start from a blank template and build your map from scratch by assembling the components that are important to you. Additionally, you can add components to any existing layer-based style.

To add a component to a style:

Start from an existing or new style. Click the “Add” button in the top left corner of the Components panel toolbar. Select the Component you’d like to add to your style. Style the added component to fit the aesthetic of your map.

To remove a component from a style:

Select the component you’d like to remove, then click the “trash can” button in the Components panel toolbar. The component is now removed from your style.

Tip: Removing the component will discard any styling you have done. If you’d like to keep your component’s styling intact, but don’t want to see it, try hiding the component instead. To hide, select the component and hit the eye button in the toolbar.

In addition to adding and removing components, the new toolbar is now home to some existing functionality:

Toggle visibility of components

View component layers to understand which layers power your components

Eject the component into layers

Note: Once you have ejected a component into layers, adding the component back may cause layer or .svg conflicts. We recommend keeping a component intact unless ejecting is absolutely necessary. More

Check out what you can make with this new functionality!

Adding and removing style components in Studio is available now for all users. Log in to Studio or create an account to start designing your next great map. Then share what you’ve made using #builtwithmapbox on Twitter — we can’t wait to see what you build.
InfoGation Corporation Sues Google Alleging Patent Infringement over its Maps API
By: Kashish Intellectual Property
Tags: Patents, Maps

InfoGation Corporation, a pioneer in the development of navigation software, has quite recently filed a Patent Infringement Lawsuit against Google in the Texas Western District Court, corresponding to its mobile navigation system. The patent in the lawsuit filed is InfoGation’s US Patent №6,292,743 (“the ‘743 Patent”), named as “Mobile Navigation System.” Google Maps API is Google’s allegedly infringing product in this case.

InfoGation specializes in developing onboard and handheld vehicle navigation solutions, which include real-time travel content, vehicle-based turn-by-turn driving directions, that too with precise voice assistance and guidance, and various communications integration solutions. Its ‘743 patent refers to a mobile navigation system, in which the client navigation computer connects to a navigation server wirelessly and gets optimal route relevant information from the navigation server that is formatted with the help of a non-proprietary and natural language description. The navigation system further reconstructs the optimal route from the description by using a mapping database coupled to the navigation computer and then displays the optimal route on the screen.

In the lawsuit filed, InfoGation has alleged that Google has infringed upon the claims 1 and 21 of its ‘743 patent by manufacturing, using, selling and offering to sell the Google Maps API.

Google Maps API gives an optimal route by using real-time information from the server of a navigation system; for instance, the Google Maps API DirectionsService interacts well with the Google Maps API Directions, which, in turn, receives direction requests and returns the most suitable path. It optimizes the travel time by keeping into consideration the total distance and the number of turns.

InfoGation has stated that the use of Google Maps API requires the need to format the optimal route into a non-proprietary, natural language description. The company said that the description prepared by Google Maps API is non-proprietary as it is formatted with the help of standardized messages as per a published API. It also mentioned that the description is natural language as it consists of natural language phrases. According to InfoGation, these two aspects require reconstructing the optimal route by the user with the help of a local mapping database and then displaying the optimal route to the user.

InfoGation has accused Google of infringing upon its patent, both directly and indirectly, along with inducing the infringement of developers and its users. The company is now looking forward to seeking the judgment in its favor, an award for damages, costs, and fees, a permanent injunction, pre- and post-judgment interest, and other relief as determined by the court.
findMissingNumber
By: Soyoung Chung
Tags: Sort, Map, JavaScript, Reduce, Split

문제 설명

성준이는 1부터 n까지 숫자를 적던 중 깜빡하고 하나의 숫자를 빼먹었다. 그 빼먹은 숫자를 찾으시오.

findMissingNumber('1 6 2 4 3') // => 5

Pseudocode

문자열을 인풋으로 받는다 문자열을 split()으로 배열로 바꾼다. 숫자를 문자열로 다시 바꿀 때는: join(‘ ‘) 바꾼 문자열 배열을 map()과 Number()/ 또는 parseInt()를 돌려 숫자 배열로 바꾸고 그 뒤에 바로 sort(function)을 써서 오름차순 정렬된 숫자배열로 만든다. 이 때, 단순 sort()를 사용하면 아스키코드 (ASCII code)가 적용되어 큰 디짓 숫자로 정렬된다 (1, 10, 11, 2, 3, 4 이렇게).

score.sort(function(a, b) { // 오름차순 return a - b; // 1, 2, 3, 4, 10, 11 });

4. 맨 마지막 요소 값을 index로 구한다.lastNum

5. 그 밑에 있는 모든 숫자의 합을 구한다. (예: 마지막 요소가 5면, 5+ 4+ 3+ 2+ 1을 구하기). for문을 이용한다. lastNumSum

6. 실제 숫자 배열의 총 요소의 합을 구한다. reduce를 이용해서. sum

7. lastNumSum — sum 값을 반환한다.

자바스크립트 코드

function findMissingNumber(str) { let strArr = str.split(' '); let sortedStrNumArr = strArr.map((e) => { return Number(e); }).sort((a, b) => { return a - b; }); console.log(sortedStrNumArr); //[

1, 2, 3, 4, 5, 6,

7, 9, 10, 11, 12, 13,

14, 15

] let lastNum = sortedStrNumArr[sortedStrNumArr.length-1]; //5 + 4 + 3 + 2 + 1 console.log(lastNum); //15 let lastNumSum = 0; while (lastNum > 0) { lastNumSum = lastNumSum + lastNum; lastNum--; } console.log(lastNumSum); //120 let sum = 0; for (let i = 0; i < sortedStrNumArr.length; i++) { sum = sum + sortedStrNumArr[i]; } console.log(sum); //112 return lastNumSum - sum; } findMissingNumber('1 2 3 4 5 6 7 9 10 11 12 13 14 15') // => 5

실제 예제들

findMissingNumber('5 3 4 6 2') //1

findMissingNumber('5 3 1 6 2') //4

findMissingNumber("1 2 3 4 5 6 7 9 10 11 12 13 14 15") //8

findMissingNumber('1 28 22 6 5 18 7 16 10 25 8 12 17 15 27 14 19 21 4 2 30 23 24 13 9 29 11 20 3') //26

모델 솔루션

function findMissingNumber(str) {

let array = str.split(' ').map(Number);

let largest = array.length + 1;

let sum = 0;

for (let i = 0; i < array.length; i++) {

sum += array[i];

}

return largest * (largest + 1) / 2 - sum;

}

1부터 n까지의 합을 구하는 공식 (왜? 문제에 그렇게 나와있으니까. )

1부터 n까지의 합 = n * (n + 1) / 2

그러면, 이 문제에서 n은 어떻게 구할까?

문제에서 1부터 n까지 숫자라고 했으니까

문자열 길이를 구해서 + 1을 더하면 된다.

(예: 1–3까지 문자열: 1, 2, 3 길이: 3 합: 3 + 1)

또 다른 솔루션

function findMissingNumber(str) {

// code goes here



str = str.split(' ');//str을 문자열 배열로 업데이트



let numStr = str.map(function(e) { // 숫자 배열 설정 numStr

return Number(e)

})



for (let i = 1; i <= numStr.length; i++) {

if ( numStr.indexOf(i) === -1 ) { //숫자 배열 numStr에 요소가 없으면 indexOf(i)가 -1인 것에 착안해서. 그런데 왜 i를 리턴하는거지?

return i;

}

}

}

https://velog.io/%40marcus/%EC%9E%90%EB%B0%94%EC%8A%A4%ED%81%AC%EB%A6%BD%ED%8A%B8-%EC%95%8C%EA%B3%A0%EB%A6%AC%EC%A6%98-%EB%AC%B8%EC%9E%90%EC%97%B4-%EB%82%B4%EB%A6%BC%EC%B0%A8%EC%88%9C%EC%9C%BC%EB%A1%9C-%EB%B0%B0%EC%B9%98%ED%95%98%EA%B8%B0-fsjs3b2dx9
Say Yes To New Adventures With GPS Map Camera
By: Gps Map Camera
Tags: Location, Cameras, Adventure, Maps, Gps

Seeing new places, meeting different people, trying some tasty dishes will make one feel like living in an alternative world. one such incident happened with me and my wife daizy.

We were living in Canada for years, and we both wanted to travel to some new place for some new adventures for some time, so we decided on a place name Napali Coast State Wilderness Park located in Hawaii in the USA, it is one of the worlds most scenic coastlines of beautiful beaches and deep hanging valleys.

Hike to the Kalalau Valley was a worthwhile adventure. We even drove around the beaches and checked out the coastline views. It was a beautiful atmosphere around, which we captured in our GPS Map camera. Well we’ve been using this app for a quiet time now. The features that it provides is amazing, and to have such an app during such an adventurous trip is worth it. We both love taking pictures for memories, and this app gives u amazing pictures with your location, date time within the picture itself, all you have to do is just to click a picture from Gps Map camera and it will not only give you amazing pictures but also information about your location well within the picture itself.

When the day came to end we had a lot of pictures with us with information on where the photo was clicked, at which location. So why not, I mean the app has good features and I would suggest this app, experience by yourself just as I did. You can download the app from here.

Click below to know more about us :
Ep. 28 — Is Google Maps still offering me the best route?
By: Billy Lo
Tags: Travel, Google Maps, Maps, Navigation, Directions Api

I was curious to find out. Is upstart Mapbox just as good or better? Has Apple Maps improved sufficiently? What about the MapQuest which I haven’t explored in a while?

Fortunately, all of them offer their routing engines as APIs. So, it’s possible to build a comparison tool to visualize those routes on the same base map.

I brought all these 8 engines together and created SuperRoute.

Just enter your source and destination of your daily commute or weekend trips, you will be able to see the routes shown in different colors.

🟦 Google Maps — Directions API ⬜ Apple Mapkit JS 🟧 MapQuest 🟩 HERE (formerly NavTEQ) 🟫 Mapbox 🟨 Esri ArcGIS 🟥 Azure Maps 🟪 openrouteservice

What have I learned en route 🚗 ?

Within cities, routes generated by different engines vary a lot. Take the time to experiment and see what works for your locality. For longer trips, these engines converge to more-or-less the same route. Apple Maps have caught up to Google Maps quickly (and MapKit JS is free, but a bit slower compared to others.) MapQuest is not as popular, but the quality of the routes is pretty good. Other engines used by fleets (e.g. Here, MapQuest, Esri) has more parameters available. You don’t have to use Google if you don’t like its personalization features. I am eager to see how AWS Location Services stack up against others (It’s not available yet.)

Learning as a product owner & engineer:

Be conscientious: don’t acquire data unless you really need it for users’ benefits Comparison tools have good ROI. e.g. pricegrabber.com and unhaggle.com. Their value is easy to understand and save users time (which is an important attribute.) Remember to test data entry fields with strings with quotes ‘ “ and commas. Don’t assume you need to use powerful UI framework like Angular/React/Vue. You can do a lot with plain JavaScript/CSS. The cognitive load on using sophisticated UI framework can offset its benefits. Concise writing is a high-leverage skill. Good UX depends on it.

Hope this helps when we can all travel again!

Happy coding!
Rail Map: New Railroads!
By: Eliot Hertenstein
Tags: Rail, Maphubs, Railroad, Genesee Wyoming, Map

It’s been a while :)

I’ve been pretty busy the past few months, but the rail map has slowly continued to fill up :)

This past week, I’ve worked on adding G&W’s 120 Railroads to the map. Although most railroads have data publicly available through Wikipedia or HIFLD open data, there was not any KML data available for G&W. The only map source I had was an embedded google map on their website.

G&W’s Map

My first plan of action was trying to find a way to get the KML source for the embed. I tried looking through the Inspect code for the website, but was only able to find an api link, which was no help. However, there was one thing that I didn’t try: checking the network.

In most browsers, you are able to see what webpages the website that you are on queries. By looking through this data, I was able to find a JSON file, with the coordinate data for each of the 120 railroads. However, these were all separate files. What that required, was manually typing in the address, followed by the mark for each railroad, and then downloading the associated JSON file. This took about an hour, and while I could have automated it somehow, it was easier just to brute-force it.

The network tab for the G&W website

Once I had the files, it was time to sort them. Due to MapHub’s limits on data, you are only allowed 50k points on a single map, so my map of the US is divided into four regions. Since the railroads that I was importing were not major US railroads, they had to be sorted into each map, before importing. This consisted of much of the same work; Google the name of the railroad, see where it was located, put into the correct folder. This process took the longest out of the three, since there was no possible way to automate it. After 5 or so hours, every small file was in the correct folder.

The South folder

The last step was just to import the data into MapHub. After doing a batch rename of the files using command prompt, I was ready to drag them over. This process was very simple. Since the files were so small, the processing time was almost nonexistent, and I just had to drag each one over to the MapHub window. And although the naming is still a little messed up, the process is finished!

You can view the final product at map.eliothertenstein.com.

And as a final note, I just want to say thanks for all the amazing support, on my YouTube, Patreon, and just on the website in general. I absolutely love this community, and I hope to work more with all of you in the future!

To request a location, please visit my Patreon.
“Benefit of GIS Software over Auto-cad”
By: M Sana Ullah Khan
Tags: Autocad, Land Use Planning, Urban Planning, Autocad Freelancers, GIS

What is GIS?

GIS stand for Geographic Information System. It is computer based system including software, hardware, people and geographic Information. In short we can say that it is mapping software.

What is AutoCAD?

AutoCAD is Computer Aided Design software and used to create blueprints of building. In Auto CAD we usually make 2D and 3D plan, elevations, sections etc.

Why we should prefer GIS, why not AutoCAD?

When we use GIS, there are many application and commands which are not present in AutoCAD. For example if we want to make a land use map in GIS first we have to digitize the study area and after digitizing we have to go attribute table and putting attribute information. Just go to Symbology and make a map. In this way we can calculate the

· Total area

· Area of every type of Land use

· Represent them in different form, color and shape

· Map is georeffered

· Easy to insert Legend, Title and aesthetic

Source: Redwood City Zoning

In AutoCAD. It is very difficult to

· Calculate area of different type of land use.

· Representation of different land use

· Drawing in a proper scale

So, GIS is more effective software when we are doing such type of task. It will save our time, money as compared to AutoCAD.
GIS or AutoCAD. What a confusion!
By: T Fatima
Tags: Autocad, GIS, Comparison

Almost a lot of people are confused with GIS and AutoCAD software. There is no need to panic and waste your time in idle supposition about which is best and which is least productive. Let’s start with both of their introduction.

GIS, first release on 1999, stands for Geographic Information System. It is a system software which can be used for creating maps of any topographical feature, compiling geographic data, analyzing mapped information, sharing and discovering geographic information.

Different version of GIS are from 8.0 (first version) to 10.7 (most recent).

Logo of ArcGIS

However,

CAD, initial date release of 1982, stands for Computer Aided Design. It can be used to create different 2D and 3D plans of any new or existing scheme, blueprints of any device, building etc with right scale.

With little bit of idea about their purpose, it is safe to say both are ENTIRELY different software.

If one is for drawing shapes then other one is for marking boundary

If one is to create 3D model of a house then other one is for labeling features of population.

Hence, entirely different software. Hopefully next time you don’t confuse them with each other.
My Take on Using GIS Mobile App Development in the Field of GIS!
By: Polosoft Technologies
Tags: Gis Application, GIS, Hire Gis App Developer, Gis Web, App Development

I’ve been eagerly looking at mobile app platforms for some time now. It’s really impressive how much I can get things done with so much less effort with the GIS mobile app from GIS. Today, sharing information to field officers, and office staff so easily with a mobile app as it keeps all the concerned engineers and staff on the same page.

You may remember how it took hours and hustle to get your system information out into the field. There would be map books in vehicles that would include the location and asset info among other data. Then we had to update this book each year and then we had to print multiple copies to distribute it among the field staff, which took days and weeks to execute.

Sadly, once it was published it cannot just be reverted back because it again would take additional weeks. Oftentimes the initial feedback engineers used to get was not accurate at all and the struggle continued for years on end just to acquire some accurate, up-to-date data.

What comes next is that in many cases, the engineers had to provide an accurate digital picture of the system. To get this to the field, it would be executed by providing various doc or pdf files to the staff so that they can view the locations of assets; but it didn’t include much information about the assets.

Getting data was still paper-based and specific technicians were hired to customize those forms on the handheld devices. As an observation, we found out that the time and effort put into this was huge!

Today’s Scenario

Today, the GIS web and mobile app development are taking these bugs out of the equation and are assisting in advanced work processes to facilitate accuracy and productivity in the quality and quantity of data the engineers receive. Rather than custom applications and costly mobile units, we can arrange business off-the-rack applications and utilize savvy gadgets. It requires some push to actualize these, however, the advantages swell all through the organizational body and give a capacity beyond the simple map viewing.

The ubiquitous nature of smart devices has facilitated GIS mobile app development service providers such as PoloSoft to create apps that can truly revolutionize the way you use GIS technology. Today, mobile apps are bringing the GIS world closer and closer to the centre.
How Service Area Routing can help people discover the world around them.
By: Sacha Desjardins
Tags: Routing, Fleet Management, Mapping, Emergency Response, GIS

ThinkGeo Service Area API

This is the ThinkGeo Service Area Routing API which you can demo on your own here. It’s an isochrone map utility that can calculate what is reachable within a set time or distance from any starting location in North America. It’s quite simple: just pick your starting location, set your time or distance parameters, and then the service will render the areas you can reach with color-infused shading to show you where and how fast you can get there. This tool is and can be used for everything from emergency vehicle dispatching to locating all of the pizza places within 10 minutes of your home.

Where it all gets very interesting is that these renders can be applied within personalized mapping applications; so with access to the guts of the functionality developers with the data in hand can really put this thing to the test. Want to maximize fleet efficiency? It’s easy with something like this to find your fleet’s ideal operating area and hone in on the sweet zone. Opening a small business with heavy competition in the area, yet another use-case for something like this would be to get a gauge for where the optimal store location would be.

ThinkGeo is adding useful high-level tools to their Cloud offering routinely and this latest addition coupled with their point-to-point routing service really highlights how powerful the combination of multiple mapping APIs can be. It’s and accessible and affordable on-ramp for GIS mapping professionals who want to illustrate specific points and showcase the brilliance of data visualization in today’s development world. To keep up with all ThinkGeo news and notes make sure to check out their blog and you can also get hands on with free API keys that unlock these routing services and more.
Exploring the spatial distribution of Airbnb listings in Hong Kong, Part 1
By: Martin Yu
Tags: Sharing Economy, Mapping, Geospatial, GIS, Hong Kong

For this paper, the first section of this series, we will focus on the basic data exploratory skills and basic geo-visualization skills, which are necessary and the pre-processing part for all data exploratory analysis. For further content, some machine learning skills including regression, classification, and clustering will be shown, trying to present a comprehensive combination of Machine Learning and Geospatial Analysis.

Now, let us start by using Jupyter Notebook:

As for the libraries we need:

import pandas as pd

import numpy as np

import matplotlib

import matplotlib.pyplot as plt

import seaborn as sns

%matplotlib inline

For the data, we download the data of our target city from the http://insideairbnb.com/, a website provide Airbnb data of major cities all over the world. And then, we import the data we downloaded using pd.read_csv:

data = pd.read_csv("HK/listings.csv")

After we import data, it is good to have a quick overview and summary of the whole data, indicating the columns, type as well as the number of non-null value:

# output the basic info

data.info()

The output of data.info()

Also, for the null values, we can use .isnull().sum for looking the missing values:

data.isnull().sum()

Reviewing the columns considerably, some columns with null values are unneeded and useless in this analysis process, so we have to drop some unnecessary columns:

data = data.drop(['neighbourhood_group','last_review', 'reviews_per_month', 'host_name', 'name'], axis=1)

data.isnull().sum()

Now we are gonna check the numeric variables by using pandas.DataFrame.describe() , from the overall perspective, for generating descriptive statistics summary that includes the shape of data’s distribution, helping us find out some “weird” and unrealistic data, and then remove them:
Icon Group EO4GEO AP geoscience company
Tags: Spatial Analysis, GIS, Environmental Monitoring, Earth Observation

The Icon Group, a new EO4GEO Associated Partner, is an interdisciplinary geoscience company, a European leader of earth imaging services EO4GEO May 3·2 min read

Short description of your organisation

The Icon Group is a European leader of earth imaging services and is Ireland’s largest processor of optical and image data. We are an interdisciplinary geoscience company, specialized in Earth Observation, Environmental Monitoring, GIS, and Spatial Data Analytics.

How does your organisation currently support the development of GI and EO skills?

We consider people to be our greatest asset, so it is very important for us to support the evolution and ambition of our workforce. Providing them with training and reskilling is one of the best ways we can do that and it helps us to always be innovative and grow the company.

We also have a privileged partnership with the Maynooth university that allows us to take onboard students and give them their first working experience.

And last but not least, we organise a yearly Student Essay Competition. We reward a student for an essay they may have written themselves, or as part of a college course. The winner has to demonstrate good knowledge of EO systems, as well as a good capability to link EO skills to current events happening in the world. For example, this year’s topic is “Looking at the Environment”. We really want to reward excellence in our field which is why we give the winning entry a €1,000 prize and 2nd Place: €500.

Image by ThePixelman from Pixabay

What do you think we need in order to improve GI and EO skills in Europe?

Raising general awareness about our sector is a must. The sector is growing but it can only do so if there is a constant flow of new qualified people entering the GI/EO job market. Educating university students and graduates on the different career opportunities in our sector is very important. We basically need to go “mainstream”.

Image by Free-Photos from Pixabay

Why was it important for you to join EO4GEO?

As mentioned previously, people are our greatest asset, therefore, we are always looking for opportunities to learn about EO skills and bring added value to our team. EO4GEO being one of the largest EU projects dealing with this subject matter it only made sense that we should join and contribute to the ongoing discussion.
Proposal for improving bus arrival consistency
By: Zachary Noah
Tags: Transportation, Gtfs, Gtfs Realtime, GIS

The Problem:

Many people are frustrated with bus systems because of the inconsistency of bus arrival times. Here in Oakland, it is not uncommon to see two or even three buses of the same route at the same stop at once.

In this article I propose a cheap way to increase consistency of spacing between buses. All buses transmit their GPS location every 15 seconds, the location of the fleet is then passed to an open API using the GTFS-RT specification. As well as the location of each bus, the API also provides which line the bus is on and its speed.

Upon receiving the locations of each bus on a particular route, a backend service will calculate the linear distance between each bus. If the system detects that two buses are closer than the average distance between buses, it will transmit to the bus driver that they should wait X extra seconds at their next bus stop for the bus behind them to catch up (using a phone app to keep hardware costs down).

An example:

There are 3 buses on a line, bus A, B, and C. Each bus is a mile apart from each other, but bus B hits some nasty traffic and is now 1.5 miles away from bus A and only 0.5 miles away from bus B. The system detects that the A-B distance and the B-C distance have become different than the average distance for that line. The system then sends a signal for bus A to wait at the next stop until bus B can catch up. But how long should bus A wait at its next stop? For this example let’s assume that the average speed is 30mph. To make up the 0.5 mile difference the bus will have to wait for 30 seconds. Now bus A, B, and C are the same distance of 1 mile space between them as they were before. This then decreases bus bunching.

Some caveats:

Since buses can only slow down and not speed up, this will make bus A late for its scheduled stop. However, for bus systems with bad spacing this makes the static posted schedule pretty useless. I believe people would much prefer that buses come at consistent intervals than arriving at its posted time, which they often rarely do.

Additionally, system administrators may resist this change because the current metric for the quality of bus systems is called On-time performance.

Since ‘Services on Time’ represents arriving at a scheduled time, this could potentially lower that metric’s score.

However, I think that riders would prefer arrival consistency over sticking to static schedules. Unfortunately this may mean that deploying this system would require a policy change as well as a software system.
Life in SLoML in Mexico
By: Viet Nguyen
Tags: Travel, Geojson, GIS, Yelapa, Sloml

Location Markup Language

While Geojson is somewhat human-readable, it’s intended to be created and consumed by computer. What if we further simplify Geosjon and only include essential information such as description and name of the location? Well, I decided to came up with a new spec and called it Simple Location Markup Language or SLoML.

SLoML — pronounced Slo-mel. It rhymes with camel and YAML

SLoML is a human-readable block of text that has the following convention:

The first line or paragraph is a description of your data

It follows by a list of one or more location entries separated by two dashes

Each entry begins with a location name or postal address follows by an optional description

A brief description

--

Name of business, point of interest or a postal address

Optional description

--

@Optional postal address

Name

Optional description

// this is a comment

Let’s look at a real world example where I’m describing my travel itinerary in 2018:

My travels in 2018

--

Squamish, British Colombia

My summer rock climbing trip

--

Vis island, Croatia

--

Valencia, Spain

--

// I didn't really visit Apple Campus :)

@1 Infinite loop Cupertino CA

The Apple

Would it be cool if I can convert the above text to geojson?

Indeed! Yelapa is my parser for SLoML. It integrates with Mapbox Geocoding service and turns each entry into a Feature. For example, Squamish, British Colombia will be comes:

{

"type": "Feature",

"geometry": {

"type": "Point",

"coordinates":[-123.15,49.7]

}

}

Yelapa is available as an npm module: @mappandas/yelapa.

Now let’s get back to traveling.

How to Get to Yelapa from Puerto Vallarta, Mexico

Most sites I came across on the web tell you to take an expensive water taxi directly from Puerto Vallarta. If you are not in a rush I’d highly recommend the following option which was suggested to us by the locals.

First you need to take a 45-minute bus ride from downtown Puerto Vallarta to a small village called Boca (short for Boca de Tomatlan). From Boca you can find a handful of water taxis that will bring you to Yelapa and back for around 200 pesos as of January 2019.

The bus stop is located in old town Puerto Vallarta. Look for buses with the placard “Boca” on display. Once you get off the bus in Boca, walk downhill toward the waterfront. There isn’t an official ticket office for the water taxi. Just ask the people working in the restaurant by the water and they will direct you to the right person.
Announcing: Major Unleash live Product Update — V 2.0
By: Unleash Live
Tags: Artificial Intelligence, AI, GIS, Live Streaming, Announcements

Our new Unleash live Release Yerba Buena (v2.0) has just arrived. We dedicate this release to the view from our new office in San Francisco, where the team spent late nights putting the finishing touches for this major release. Enjoy the result!

This is a significant product update, culminating in the biggest overhaul to our experience on laptop, tablet, and mobile to date. We’ve listened extensively to client feedback on usability improvements and delivered on major feature requests and improved stability and speed capabilities.

In fact, we’ve bundled so much into this release that we’ll be following up with a number of articles on key new features and what it means for our clients.

In the meantime, take it for a spin at https://cloud.unleashlive.com

Sign up to our newsletter to stay up to date with the latest industry applications of Unleash live

Here is the detailed rundown:

Raw and A.I. Live Streaming:

HD live video streaming latency decreased by another 20%. making it the fastest in it’s category

More than a dozen A.I. models available for live stream analytics

A.I. Apps Store:

Our first release of a full suite of A.I. Apps, ready to be inserted into your live streams for real time analysis

Several new A.I. inference models from various 3rd party developers available for testing in connected HD live streams

A.I. developer sandbox features updated

Secure Library:

Complete overall and usability improvement of your secure library, containing videos, images, 2D and 3D models as well as analyzed A.I. clips all in one place

Easy search for specific time or device stamped media

3D Modelling:

Modelling jobs are now completed 30% faster due to parallel processing, improved stitching and tiling

3D Modelling jobs allowance increased to 750 images on all Business subscriptions. Contact us for even higher allowances

Point clouds with much higher point density per model providing more accurate measurements

Fusion Atlas:

Geo-referenced live video feeds straight on a map for operational awareness

All your multiple 2D orthomaps can be layered directly into the browser for comparing differences over time

KML, KMZ, GeoJSON, CSV datasets can be uploaded and displayed on orthomaps or ESRI layers

Book a time with a specialist to learn how your organization can take advantage of Unleash live

Please continue to send us your feedback as we continue to build the best real time A.I. analytics experience.

Innovation is at the heart of everything that we do. The team are working on exciting experiences brewing in our labs which you can get a glimpse of right in your Unleash live account, go and log-in to find out more.

Get Started with Unleash live

Visit unleashlive.com to start your free trial or book a time with one of our specialist team members to learn how your business can take advantage of live streaming video and A.I. analytics
Python Venture Thoughts for 2020 — Work on constant tasks to start your profession
By: Harsh Sharma
Tags: Innovation, Python, Arcgis, GIS, Technology

Python is the most utilized programming language on earth. Picking up Python information will be your best interest in 2020. In this way, on the off chance that you need to accomplish skills in Python than it is urgent to deal with some ongoing Python venture.

Only technical information or Knowledge of anything is of no utilization until or unless one switches to an ongoing project. In this article, We EdunBox.com is giving you Python venture thoughts from fledglings to cutting edge levels with the goal that you can achieve without much of a stretch learn Arcgis by for all intents and purposes actualizing your insight.

Venture-based learning is the most significant thing to improve your insight. That is the reason Edunbox.com is giving Python for GIS instructional exercises and Python ventures thoughts for novices, intermediates, just as, for specialists. Along these, everyone can likewise step up HIS/HER programming abilities.

Do You Know ??

According to Stackoverflow!

“Python is the most preferred language which means that the majority of developers use python.”

We will talk about 200+ Python venture thoughts in our up and coming articles. They arranged as:

Python Venture Thoughts

Python Django (Web Improvement) Venture Thoughts

Python Game Development Venture Thoughts

Python Machine learning Venture Thoughts

Python AI Venture Thoughts

Python Data Science Venture Thoughts

Python Deep Learning Venture Thoughts

Python Computer Vision Venture Thoughts

Python Internet Of Things Venture Thoughts

To Know More …… Just Click
DroneBase Now Integrates Into the Esri ArcGIS Platform
Tags: Startup, Analytics, GIS, Technology, Drones

We’re excited to announce that Esri customers will now be able to request drone flights from DroneBase through our integration with Esri’s mapping and analytics platform, ArcGIS. This marks the first time that Esri users will be able to order a drone flight directly within the platform.

By selecting DroneBase, Esri users can expect a scalable and efficient way to access drone image and data collection from our reliable Pilot Network. All images captured by our drone pilots will be published to the ArcGIS platform, making it easy for users to utilize the images, and access the mapping and analytics resources available through the platform.

From Request to Completion

What will this process look like for an Esri user who is new to DroneBase? Here is a step-by-step guide, from requesting a Mission to accessing all data collected:

Visit the DroneBase app listing on the ArcGIS marketplace and click “Contact Provider” to get started on creating a DroneBase account and linking it to your ArcGIS account. Follow the instructions in the onboarding email sent to you from DroneBase to complete linking your accounts. Request a drone flight through the DroneBase platform using our intuitive order flow. A vetted and experienced local DroneBase pilot is dispatched to collect the desired images within 48 to 72 hours. Once the Mission is complete, the imagery is uploaded and automatically published to ArcGIS as a map layer. You can then easily access the imagery or upload to one of the analytics tools ArcGIS has to offer.

If you’re an existing DroneBase customer AND Esri user, you can now easily connect your two existing accounts:

Open your DroneBase Client Dashboard and click the Integrations tab in the left sidebar. Click the button that says “CONNECT YOUR ArcGIS ACCOUNT”. Log in to your ArcGIS account. That’s it! Now you can use your maps and data to place orders, and view your assets directly in your ArcGIS account.

Seamless Integration

Aerial imagery and data captured by DroneBase pilots can be easily used by any organization within the ArcGIS platform for any purpose that may benefit from drone imagery, including visual inspections, site monitoring, asset management, and situational awareness. By utilizing DroneBase’s pilot network, users will have access to fast collection of drone imagery, and then leverage any number of the apps available on ArcGIS to analyze the imagery and gain greater insights.

This means architecture, engineering, and construction organizations can monitor site construction more easily and cost-effectively assess the integrity of their assets or the extent of possible damage all in one place.

Together with Esri, we will provide customers with our extensive pilot network while utilizing the benefits of the ArcGIS platform. With the extensive resources now available to customers, DroneBase will continue to serve even more professional industries and individuals.

Visit our ArcGIS Marketplace listing page here and get started today!