What are the opening hours?

Monday 9am - 5pm Tuesday 9am - 5pm Wednesday 9am - 5pm Thursday 9am - 5pm Friday 9am - 5pm

Postcodezip, New York, NY (2026)

03/04/2021

What is location-based marketing?

The marketing strategies of today’s businesses are more optimized based on a consumer’s . Whatever’s near you will most likely appear on the ads you’re shown.

Location-based is a direct marketing strategy that alerts a consumer’s phone of any business location near them and the products and services they offer.

These alerts may come in a form of discounts or deals that are exclusive or limited.

With today’s new breed of smartphones, through the internet, your location data can be accessed, with your permission, of course.

In any application you have on your phone, is being used to provide you with relevant content you might be interested in.

One of the ways can use location data effectively for this type of marketing is through . Whenever you’re within a certain geographic area, certain content and ads are to you to encourage you to purchase.

MarTech Series has reported that around 83% of today’s marketers say that when they accompany their marketing strategies with location data, they turn out more successful.

With today’s oversaturated field on different platforms, how should a business stand out?

Grabbing the attention of your potential consumers means having to market where they’re setting their attention to.

The best businesses that could benefit from location-based marketing are the events businesses and small-town business owners like cafes.

Location data helps strengthen the awareness for these businesses to increase foot traffic.

As the demographic for smartphone users continues to grow, it’s important to take advantage of that and set up your location-based marketing strategy today.

02/24/2021

How Did The GIS Come About?

Today’s world has seen a ton of progress in every shape and form. In the field of technology, everything is made more efficient, easier, and faster as we go about our everyday lives.

Part of the modern world’s greatest achievements today is the geographic information system. It has helped in the fields of disaster preparedness down to tourism as it uses data to help users make the best assessments and decisions.

It was in the year 1960 that the idea was introduced. It was then further studied as it evolved into a modern discipline. Roger Tomlinson is known to be the brains behind the concept as it helped store, collect, and analyze data on the land use of Canada back in the days.

In every decade since the ’60s, it has evolved from a simple concept to now a solid form of science used in .

A variety of important milestones define the phenomenal development of GIS from a simplistic method to a new, efficient medium to understand our planet even more.

Throughout the ‘90s, the GIS concept was used in different software namely Esri and ArcView.

The technology has been implemented to provide governments and private companies with resources for control of field assets, capture business information, and the transferring of .

GIS technology continues to stay relevant today. Hundreds of thousands of organizations share their roles and build billions of maps every day for the purpose of telling stories and exposing patterns, developments, and ties.

02/17/2021

POSTCODEZIP and Geospatial Technology

The advancements are done in technology continue to evolve as more and more people use the power of data. Not only is it used by important institutions in society, but it is also now consumed by and collected from ordinary people.

Like what you already know, through the power of the internet, is everywhere.

Everything from the information you put out on social media or the things you buy through online stores is data being exchanged.

Geospatial technology allows the collection of earth-related data and its use for research, modeling, simulation, and visualization.   
This technology enables us to acquire specific location data to produce smart, priority-specific decisions that are, in the first place, hard to acquire.

Remote sensing, the global positioning system ( ), the main methods for collecting substantial data on the Earth, and the geographic information system ( ), a mapping tool used for location data analysis, are all examples of geospatial technologies.

While the geospatial technologies of today are at its peak, it still continues to advance as the technology itself advances. It is very important for different industries worldwide to acquire through these technologies-- from the communications industry down to the medical industry.

Utilizing a is one of the ways that these industries can acquire such data. POSTALCODEZIP delivers an up-to-date and easy directory of and and streets worldwide. It’s one of the pioneers in providing data on these types of information.

02/10/2021

The GIS and Its Limits

The Geographic Information System has the power to assemble, store, control, and display information in a computer device.

In simple words, it was created for collecting, saving, modifying, and managing all types of geographically referred information by the computer. The technology has made spatial data easy to interpret and control and has helped in informed decision-making for the many fields in the industry.

While this is a gem for researchers and scientists alike, just like other types of , it has its downfalls.

It gathers A LOT of information.

While it’s confusing why this is a challenge, most of the people behind the assessment of these large chunks of are often troubled with this. While the gathering of data is streamlined, the complexities of the data gathered can be overwhelming and may cause a dilemma.

It is said to be expensive in all aspects.

Not only is the GIS system, technology, and hardware expensive, it takes a huge budget to be able to employ the right people with the right knowledge and experience to operate the technology as well. Moreover, when your goal is to get large chunks of , even larger storage is needed, thus, more of your budget is spent.

Compatibility and integration with maps can be difficult.

If you haven’t known already, the GIS system itself is complex. It consists of and details that are hard to integrate into traditional maps in order to obtain useful .

While the GIS has its highs, knowledge of the lows can also help in the long run to better make use of its high-end technology.

02/03/2021

What Makes Up the Geographic Information System

A Geographic Information System (GIS) helps users to view, comprehend, inquire, evaluate, and model in several ways that show relationships, patterns, and trends in the form of , globes, surveys, and charts.

GIS combines all types of geographically referenced information with hardware, applications, and data to collect, handle, interpret, and view.

By looking at data in a manner that is readily interpreted and easily communicated, a GIS lets users address questions and fix challenges, and technology can be incorporated into any business information management structure.

These five main components are combined into a working GIS:

Hardware

The device on which a GIS works is hardware. GIS currently operates on a wide variety of hardware types, from clustered data servers to standalone desktop computers. 
Software

GIS offers the required functions and tools for saving, evaluating, and viewing geographic information. 
Data

Perhaps the findings are the most important aspect of a GIS. data, as well as related tabular data, can be collected in-house or purchased from a commercial data provider. 
Methods

It needs not only the required investments in hardware, software, and data to make a GIS device operate correctly, but it also requires expertise to use GIS technology. The GIS method requires how to view, store, handle, process, interpret, and eventually show the data as an output for a specific application.

People

Without the people who run the device and create strategies to apply it, GIS technology is of little use. GIS vary from professional experts developing and maintaining the device to those using it to support them in their daily jobs.

01/26/2021

GPS in Our Every Day

If you haven’t noticed yet, the global positioning system plays a big part in our everyday life. From the one who commutes daily to the workplace, down to the company’s CEO, everyone uses the GPS for data.

The Global Positioning System (GPS) is now popular as a satellite-based system, providing information and time-to-receiver data. At any point in the world, the facility is open to everyone.

The device does not enable the customer to send any data since it works without any telecommunications and internet connectivity with total freedom, however, the presence of these devices could contribute to the system's functioning.

In order to achieve greater productivity, most enterprises now understand the value of technology. And, therefore, it offers them better benefits.

An example is the implementation of the GPS vehicle tracking system. Among other things, it has found immense commercial uses for taxi operators and cab services, helping people hail a cab through their phone.

Food and item delivery services are also beneficiaries of GPS as they acquire customers through location .

Today, explorers and non-explorers alike start to travel more with GPS navigation. It contains important information such as the path to a preset location and the shortest way.

GPS can also help monitor selected personalities and objects to aid in finding them quickly.

In company logistics, many firms are already monitoring the movement of their vehicles via the GPS system on a regular basis in order to determine the location of their workers and their subsequent transport movements.

This helps to increase the production of timely and establish a positive relationship with customers.

GPS is truly a game-changer and a powerful tool for your every day.

01/18/2021

The GIS and Geographic Data

You may not notice it as often as you should, but we use a lot of data in our everyday lives. Some of these data are better streamlined through geographic information systems (GIS) and technologies.

A is a system for the processing, storage, manipulation, analysis, management, and display of all forms of geographic data.

Geography is the main term for this technology, indicating that some part of the data is spatial. In other words, this is data that is referred to as positions on the planet in any manner.

Typically, tabular data known as attribute data is combined with this data. It is usually possible to describe attribute data as additional information about each of the spatial features. Schools will provide an example of this. The spatial data is the exact location of the schools.

sometimes referred to as geographic or geospatial , refers to data and knowledge directly or indirectly correlated with an earth-related location.

To imply the data that has a geographical dimension, the term is used. This implies that information is related to the records in a dataset, such as geographic details in the form of coordinates, address, area, or code.

Data from GIS is a type of geospatial data. GPS data, imagery, and can give rise to other geospatial data.

Geospatial technology refers to both the geographic information acquisition, manipulation, and retrieval used. One type of geospatial technology is GIS. Other examples of geospatial tools are GPS, remote sensing, and geofencing.

01/13/2021

How We Make Sense of Location Data Using Geospatial Technologies

As we continue to use location data to our advantage with geospatial technology, it’s about time we dive into the different types of geospatial technologies available for our perusal.

Geospatial technology requires the collection and use of Earth-related data for the study, modeling, simulation, and visualization. technology enables us to make intelligent choices based on the value, priority, and existence of the most scarce resources.  
Geographic Information System (GIS)

is a system for data processing, management, and analysis. It analyzes spatial locations and organizes information layers into map and 3D scene visualizations. GIS offers more profound insights into data, such as patterns, relationships, and situations with these unique abilities.
 

Global Positioning System (GPS)

The GPS is a navigation system, a receiver, and algorithms for synchronizing air, sea, and land travel , speed, and time data.

The satellite system consists of 24 spacecraft, each of which has 4 satellites, in its 24-mile roundabouts on Earth in 6 earth-centered orbital planes, and which fly 8,700 mph with speeds.
 
Remote Sensing

Photos and data from spacecraft or airborne camera and sensor platforms are obtained through remote sensing. Any commercial satellite image companies now provide images that contain information of 1m or less and make them ideal for the surveillance of humanitarian needs and abuses of human rights.
 
Internet Mapping Technologies

These are the geospatial technologies brought about by big tech companies in the world wide web like Maps and Virtual Earth. These are changing the viewing and distribution of geospatial data. User interface improvements often allow these innovations accessible to a larger public.

These developments have developed into a network of satellites used, for a number of purposes, for national defense, scientific and commercial operations.

01/07/2021

Geospatial Data and Its Database

Before we are able to dive into the basics of database, it is important to know the characteristics of geospatial .

Geospatial data is knowledge about objects, activities, or phenomena on the surface of the earth that have a position.

In the short term, the position can be static or complex.

Geospatial data incorporates information on positions (usually on the Earth), information on attributes (characteristics of the object, occurrence, or phenomenon concerned), and, sometimes, temporal information as well (the time at which the location exists).

Each geospatial data consumer has encountered the challenge of collecting, arranging, saving, sharing, and visualizing their knowledge.

The diversity of geospatial data formats and data systems, as well as the disparate accuracy, will lead to a dizzying accumulation of valuable and useless bits of explicit spatial knowledge that must be poked, prodded, and wrangled into a single, coherent .

In any information system ( ) initiative, collecting geographic data is an essential aspect. Data collection has been calculated to usually absorb at least 80 percent of the time and resources spent on any given project.

All these data need someplace to stay at some point, right?

This is where a geospatial database comes in. Like all databases, a includes unique details, such as identification, , shape, and orientation, about each data point.

Integrating this geographic information with the tabular attribute data provides users with powerful tools to imagine and address spatially explicit questions in an increasingly technical world.

12/29/2020

What’s Special About Spatial Data Mining?

The method of finding interesting and previously unknown, but potentially valuable, patterns from large geographic datasets is .

Owing to the complexities of forms, spatial associations, and spatial autocorrelation, extracting interesting and valuable patterns from spatial datasets is more complicated than extracting the related patterns from conventional numeric and categorical data.

After transforming spatial components into non-spatial components through feature selection, a common approach is to apply classical data mining techniques.

Spatial data mining problems require the detection of trends or the discovery of artifacts important to the questions that guide the research project. In order to find just the relevant data, using or or similar programs, analysts can look at a broad database area or other extremely large data collection.

One curious thing about the word "spatial data mining" is that it is commonly used to speak about discovering patterns that are useful and non-trivial. In other words, it is not feasible to consider spatial data mining by experts only to set up a visual map of data.

A spatial data mining project's main objective is to separate the data in order to construct actual, actionable presentation patterns, excluding items such as statistical coincidence, randomized spatial simulation, or meaningless outcomes. One way researchers may do this is to blend knowledge by searching for "same-object" or "object-equivalent" models to provide reliable spatial position comparisons.

An option is to explore modern models, new objective features, and new patterns that are more fitting for spatial knowledge and its particular characteristics is via feature collection, new models, new goal features, and new trends.

12/22/2020

Support Vector Machine and Its Role in Machine Learning

As technology continues to develop and progress, follows suit.

This high-end technology entails data prediction and classification and to this end, we use different algorithms of machine learning based on a dataset.

SVM or support vector machine is a linear classification or regression . It is able to solve linear and non-linear issues and to function on several practical problems. SVM's definition is simple: the algorithm generates a line or hyperplane that divides the data into groups.

First of all the SVMs are searching for a separating line (or hyperplane) between two class details. SVM is an algorithm that takes as an input and produces a line which if possible, distinguishes these groups.

It is one of the most common supervised learning algorithms for both classification and regression problems. However, it is mostly used in machine learning for classification problems.

The SVM algorithm aims to establish the best line or boundary of judgment that separates n-dimensional space into groups so that the new data point can be conveniently positioned into the right group in the future. A hyperplane is considered the “best decision boundary”.

SVM selects the extreme vectors/points which will help construct the hyperplane. These extreme cases are called support vectors.

12/15/2020

The K-means Algorithm Can Very Much Help Cluster Data

Clustering is a common method used to analyze exploratory to explain the structure of the data. The K-means algorithm, also known as K-means clustering, is one of the easiest learning algorithms to overcome the well-known problem of classification.

The protocol follows a simple and fast way of classifying a given data set in a number of fixed apriori (assume k clusters). It defines subgroups in the data such that data points in the same subgroup are very similar, and data points in separate clusters are very distinct.

The K-means Algorithm aims to identify uniform subgroups such that the data points in each cluster are as close as possible in conjunction with an equivalence measure.

In this clustering algorithm, one of the most complicated tasks is to pick the correct values of k. What should the k-value be? How is the k-value selected?

You can either use the silhouette or the elbow method.

The best example where data clustering is used through the algorithm is through consumer segmentation. This is where we strive to identify customer-like ones, be it behavioral or attribute segmented image or compression.

This is where we try to group related together, clustering documents based on similar , , and so on.

Using this has its advantages. Firstly, it is very simple to implement. Next, it is also very scalable to a huge data set and finally, it adapts the new examples of data very frequently.

Postcodezip

03/04/2021

02/24/2021

02/17/2021

02/10/2021

02/03/2021

01/26/2021

01/18/2021

01/13/2021

01/07/2021

12/29/2020

12/22/2020

12/15/2020

Address

Opening Hours

Telephone

Website

Alerts

Contact The Business

Shortcuts

Share

Category

Monday	9am - 5pm
Tuesday	9am - 5pm
Wednesday	9am - 5pm
Thursday	9am - 5pm
Friday	9am - 5pm