Everything is related to everything else
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Everything is related to everything else
"But near things are more related than distant things". Tobler's Geography 1st Law
Curated by Fernando Gil
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The implementation of an Enterprise Geographical Information System to support Cadastre and Expropriation activities.

The implementation of an Enterprise Geographical Information System to support Cadastre and Expropriation activities. | Everything is related to everything else | Scoop.it

Abstract

 

The processes of mobilization of land for infrastructures of public and private domain are developed according to proper legal frameworks and systematically confronted with the impoverished national situation as regards the cadastral identification and regularization, which leads to big inefficiencies, sometimes with very negative impact to the overall effectiveness.

 

This project report describes Ferbritas Cadastre Information System (FBSIC) project and tools, which in conjunction with other applications, allow managing the entire life-cycle of Land Acquisition and Cadastre, including support to field activities with the integration of information collected in the field, the development of multi-criteria analysis information, monitoring all information in the exploration stage, and the automated generation of outputs. The benefits are evident at the level of operational efficiency, including tools that enable process integration and standardization of procedures, facilitate analysis and quality control and maximize performance in the acquisition, maintenance and management of registration information and expropriation (expropriation projects). Therefore, the implemented system achieves levels of robustness, comprehensiveness, openness, scalability and reliability suitable for a structural platform.

 

The resultant solution, FBSIC, is a fit-for-purpose cadastre information system rooted in the field of railway infrastructures.

 

FBSIC integrating nature of allows: to accomplish present needs and scale to meet future services; to collect, maintain, manage and share all information in one common platform, and transform it into knowledge; to relate with other platforms; to increase accuracy and productivity of business processes related with land property management.

Fernando Gil's insight:

Fernando Gil's master thesis: "The implementation of an Enterprise Geographical Information System to support Cadastre and Expropriation activities." published at ISEGI/NOVA digital library site (http://hdl.handle.net/10362/13786)

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Steve Omondi's curator insight, March 23, 2016 2:31 AM

Fernando Gil's master thesis: "The implementation of an Enterprise Geographical Information System to support Cadastre and Expropriation activities." published at ISEGI/NOVA digital library site (http://hdl.handle.net/10362/13786)

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Comparison with SQL — pandas 0.19.2 documentation

Since many potential pandas users have some familiarity with SQL, this page is meant to provide some examples of how various SQL operations would be performed using pandas.

Via Philip Knight
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Philip Knight's curator insight, April 24, 8:31 AM
Some useful tips for using Pandas (the Python library) for those who are more familiar with SQL. 
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The Development of a Virtual Museum in Germany

The Development of a Virtual Museum in Germany | Everything is related to everything else | Scoop.it
A ‘virtual museum’ (VM) has the potential to greatly improve the experience of a traditional museum visit, adding the possibility to provide information in a new, entertaining and convenient way. Interactive digital visualisations in particular can increase the comprehensibility of a complex topic. Such an application has now been developed as part of a master’s thesis for the Museum Alt-Segeberger Bürgerhaus in Bad Segeberg, Schleswig-Holstein, Germany. The whole building, the museum exhibition and six historic stages of construction have been reconstructed based on the capture of 3D data. Visitors can explore the historic building in a real-time 3D environment, both in a desktop application and in virtual reality (VR).
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ArcGIS Pro vs ArcGIS Desktop: geoprocessing tools

ArcGIS Pro vs ArcGIS Desktop: geoprocessing tools | Everything is related to everything else | Scoop.it
Both ArcGIS Desktop and ArcGIS Pro have a suite of toolboxes with hundreds of geoprocessing tools available. However, there are still quite a few tools that are available only in ArcMap and have not been ported to Pro. You can find the list of those tools at the Help page Tools that are not available in ArcGIS Pro.
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How many Spectral Bands have the Sentinel 2 Images?

The Sentinel 2 satellites have a Multi-Spectral Instrument (MSI) with 13 spectral bands that range from the visible range to the shortwave infrared (SWIR)
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Where Europe lives, in just 14 lines of #rstats code

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Business Guide 2017 | GIM International

Business Guide 2017 | GIM International | Everything is related to everything else | Scoop.it
The 2017 edition of the GIM International Business Guide provides you insights into where the market is heading this year, in terms of both technology and business trends. This year's edition contains features on agriculture, construction, heritage mapping, land administration and mining. Besides this, you will find an article that reveals the valuable insights we obtained from our readers' survey! 
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NASA's Black Marble 2016 or Syrian Dark Years - Digital Geography

NASA's Black Marble 2016 or Syrian Dark Years - Digital Geography | Everything is related to everything else | Scoop.it
About four years ago, Daniel wrote a short article on how to publish a GeoTiff as maptiles and how to use this in a leaflet map. I would like to refresh that knowledge and apply this to the current release of the NASA images (“Black Marble 2016”) which were published last week and also compare the images using some LeafletJS magic.
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What is Geographic Information Systems (GIS)? - GIS Geography

What is Geographic Information Systems (GIS)? - GIS Geography | Everything is related to everything else | Scoop.it
Geographic Information Systems (GIS) Connects Geography with Data

Every day, millions of decisions are being powered by Geographic Information Systems (GIS)…

From pinpointing new store locations… to predicting climate change… to reporting power outages… to analyzing crime patterns.
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Top 10 Benefits of Geographic Information Systems

Top 10 Benefits of Geographic Information Systems | Everything is related to everything else | Scoop.it
Discussed below are the benefits of Geographic Information System;
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How-To: OpenCV and Python K-Means Color Clustering

How-To: OpenCV and Python K-Means Color Clustering | Everything is related to everything else | Scoop.it
Take a second to look at the Jurassic Park movie poster above.

What are the dominant colors? (i.e. the colors that are represented most in the image)

Well, we see that the background is largely black. There is some red around the T-Rex. And there is some yellow surrounding the actual logo.

It’s pretty simple for the human mind to pick out these colors.

But what if we wanted to create an algorithm to automatically pull out these colors?
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Population grids - Statistics Explained

Population grids - Statistics Explained | Everything is related to everything else | Scoop.it
This article introduces population grid statistics as an alternative to population statistics for administrative areas. Population grids are a powerful tool to describe our society and to study the interrelationships between human activities and the environment. They are particularly useful for analysing phenomena, and their causes, which are independent of administrative boundaries, such as flooding, commuting and urban sprawl, to name but a few.

The article also presents the GEOSTAT 2011 population-grid dataset as a first example of a European Union (EU) population grid. The European Statistical System (ESSnet) project GEOSTAT 1, launched in co-operation with the European Forum for Geography and Statistics (EFGS) seeks to represent the main characteristics of the 2011 population and housing census in a 1 km2 grid dataset and, more generally, to promote geocoding of statistics.
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TecGEO.ORG: MOOC de IDE & GeoINT

TecGEO.ORG: MOOC de IDE & GeoINT | Everything is related to everything else | Scoop.it

A NOVA IMS convida-vos a participar na 1ª Edição do TecGEO.ORG: MOOC de Infra-estruturas de Dados Espaciais e Inteligência Geoespacial! Sejam bem vindos a este curso inteiramente gratuito que pretende abordar questões bastante cruciais na era atual, relacionadas com a Inteligência Geoespacial e Infra-estruturas de Dados Espaciais.

O TecGEO.ORG pretende apresentar alguns conceitos científicos, métodos e tecnologias geoespaciais chave utilizadas na resolução de problemas de segurança humana a nível global, incluindo desastres naturais, crises humanitárias, riscos ambientais, operações militares, violência política, saúde pública e desafios no acesso a fontes de alimentação.

Estamos prestes a iniciar esta viagem no dia 1 de maio e convidamos todos os interessados a assistir ao curso e fazer a sua inscrição aqui (https://miriadax.net/web/tecgeoorg-mooc-de-inteligencia-geoespacial-e-sitemas-de-informacao-geografica-nas-organizacoes).

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Python power comes to SQL Server 2017

Python power comes to SQL Server 2017 | Everything is related to everything else | Scoop.it
The next version of Microsoft's flagship database will run Python scripts, with full access to Python third-party libraries, as native T-SQL stored procedures
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A review of the Los Angeles GeoHub

A review of the Los Angeles GeoHub | Everything is related to everything else | Scoop.it
The Los Angeles GeoHub represents, in many ways, the next generation GIS data portal. It is in my view what a data portal should be, and given the population and areal size of Los Angeles, that the portal is robust makes it even more impressive.  The data user can search the city’s open data site, and also do something that not all sites allow:  “Explore all data”.  At the time of this writing, “exploring all data” resulted in 554 results, which one can then add to “my favorites” for later investigation and download.  One can also explore the data by category, including business, boundaries, health, infrastructure, planning, recreation and parks, safety, schools, and transportation.  Most data sets can be downloaded as a spreadsheet, as a KML file, or a shapefile.  These layers include grasslands, fire stations, cell phone towers, road work projects, traffic, parcels, and dozens and dozens more–even bus stop benches and other treasures.  Each download is quick and painless.
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Using R as a GIS

Using R as a GIS | Everything is related to everything else | Scoop.it
In real estate, spatial data is the name of the game. Countless other domains utilize the power of this data, which is becoming more prevalent by the day. In this post I will go over a few simple, but powerful tools to get you started using using geographic information in R. GISTools provides an easy-to-use…
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Drone Industry Review - Q1 2017

Drone Industry Review - Q1 2017 | Everything is related to everything else | Scoop.it
Drone Industry Review is a podcast series brought to you by Commercial Drones FM. It briefs you on the most important happenings in the drone industry.
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GIS and Karstic Cave Monitoring ~ GIS Lounge

GIS and Karstic Cave Monitoring ~ GIS Lounge | Everything is related to everything else | Scoop.it
Karstic, or limestone, caves are potentially an important source of information for paleoclimate data and provide perhaps the most accurate terrestrial climate information relative to all other data sources. Furthermore, they play an important role in the hydrologic cycle and act as global warming pollution traps. Monitoring, therefore, has become important of karst formation, including the number of speleothemes, which are stalactites and stalagmites, present in these caves and what happens to them over time.[1]
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Mapillary: Capturing, Sharing, and Exploring Street Level Photos | GIS Education Community

Mapillary: Capturing, Sharing, and Exploring Street Level Photos | GIS Education Community | Everything is related to everything else | Scoop.it
Mapillary is a tool that allows anyone to create their own street level photographs, map them, and share them via web GIS technology.  The idea behind Mapillary is a simple but powerful one:  Take photos of a place of interest as you walk along using the Mapillary mobile app.  Next, upload the photos to Mapillary again using the app. They will be connected with others’ and combined into a street level photo view.  Then, explore your places and those from thousands of other users around the world.
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Interacting with Big Geospatial Data, by Christoph Traxler and Gerd Hesina

Interacting with Big Geospatial Data, by Christoph Traxler and Gerd Hesina | Everything is related to everything else | Scoop.it
Advances in capturing techniques such as laser scanning and photogrammetry have significantly increased the volume of geospatial datasets. Big geodata has become an important asset for analysis and decision-making, but also poses a challenge for state-of-the-art visualisation techniques. This article presents research results addressing this problem for the infrastructure and planetary science application domains. The methods discussed here enable users to fluently explore and efficiently analyse the growing wealth of geospatial data. 
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Data Sharing is Smart: Geo-related Trends in Engineering & Construction, by Frédérique Coumans

Data Sharing is Smart: Geo-related Trends in Engineering & Construction, by Frédérique Coumans | Everything is related to everything else | Scoop.it
There could be many keywords representing important trends in the capture and use of spatial data in the engineering & construction industry, but 3D, BIM, AR and UAV are definitely high on the list. Uniting them all is one major cross-industry challenge: interoperability and data integration in support of much-needed higher workflow efficiency in the whole value chain.
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Sat Colours

Sat Colours | Everything is related to everything else | Scoop.it
A bit of open cv, a bit of sckit learn and a bit of PIL...

I was inspired to write this blog post after reading a great blog on pyimagesearch based on dominant colours. I have slightly adapted the code to scale and order the colours and crop the image in PIL, but if you follow the tutorial you to can create your own sat colours!

I can't see a reason why not to try this on any type of raster display.

Maybe you will find a colour that inspires you, will your new kitchen be a Wetland Blue, or the bathroom a Saharan Orange?
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