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)
The launch of Sentinel-2A in June 2015 signalled the start of the era of the Sentinel-2 twin constellation. The satellite has been constructed by Airbus Defence and Space for the European Space Agency (ESA). The Sentinels are a new family of missions in progress and a major asset within the European Copernicus programme, which is dedicated to providing a comprehensive picture of the ‘health’ of the Earth. To mark the occasion of the launch, the author provides an overview of the mission, the features of the sensors on board and applications of the images.
Do you keep lists of addresses in spreadsheets? Does 'Geospatial' still sound like another buzzword to you? In this article I explain the importance of location in decision-making, what GIS is, and how you can use it to generate clear, actionable insights from your data.
Why is Location Important?
Imagine a time you made a recommendation to your boss, presenting your case with multi-tab spreadsheets, charts, and packets of background research. Despite the hours of work you'd done, chances are you were dismayed when your boss responded with something like, “just give me the 5Ws.”
We’ve all suffered from information overload. Using the 5W format (Who, What, When, Where, Why) keeps focus on the actionable information needed to make a good decision.
To download the R code and GIS data, please visit (althuwaynee.blogspot.com.tr). First free comprehensive and complete video tutorials, about "how to produce prediction maps using multivariate Logistic Regression method in ArcGIS and R environment.
With more than 13 million downloads to date, Anaconda is blossoming into a real phenomenon in a crowded data science field. What made the collection of mostly Python-based tools so popular to data hackers—a dedication to openness, interoperability, and innovation—is also the strategy behind Continuum Analytics’ business expansion, and possibly even an IPO.
More than 400 people attended Continuum Analytics‘ inaugural AnacondaCON event last week in the company’s hometown of Austin, Texas. By all measures, the two-day conference was a success—Wednesday night’s AnacondaCON Carne bar-b-que party was quintessentially Austin-esque–and planning is already underway for next year’s event, to be held in April.
Rural populations will have reached their absolute high in 2022 with approximately 3.38 billion people. This is only slightly up from the current 3.37 billion people, showing how the number of people not living in cities has flatlined since the turn of the century and comes after a period of continuous growth since the 1950s when only 1.78 billion people lived in the countryside. The current long-term projections see this number going slightly down to 3.2 billion people by 2050.
India and China, as the countries with the largest rural populations, particularly stand out. While India is projected to slowly lose rural populations (six per cent between now and 2050), China is set to do so at a much faster pace (47 per cent).
Python is everywhere. It’s easy to learn, can be used for lots of things, and often is the right tool for the right job. The huge standard library and refreshingly abundant libraries and tools make for a very productive programming biosphere. The 3.6 release was just last month
Data scientists are always stressing over the “best” approach to variable selection, particularly when faced with massive amounts of information -- a frequent occurrence these days. "Massive" by today's standards means terabytes of data and tens, if not hundreds, of millions of features or predictors. There are many reasons for this “stress” but the reality is that a single, canonical solution does not exist. There are as many approaches to selecting features as there are statisticians since every statistician and their sibling has a POV or a paper on the subject.
How will you build smarter, safer infrastructure? Transportation professionals are responsible for planning, construction management, maintenance operations, asset tracking, safety improvements, real-time traffic visualization, and building sustainable infrastructure. But with numerous business systems to integrate, outdated databases, and various types of workflows and departments, these jobs can be difficult. GIS is a trusted solution that departments of transportation (DOTs) and roadway administrations can leverage to integrate workflows, increase productivity, encourage communication, and support data-driven decisions.
Agriculture enthusiastically absorbs geospatial technologies. Precision farming practices in particular benefit from location intelligence. The future in agriculture with geospatial applications is bright. Besides more efficiency on the farm, geospatial technologies also offer new business opportunities and new sustainability concepts. But the adoption of geospatial innovations is lagging behind expectations. So what’s hot and what’s not? This article examines the state of the art in geospatial technologies in agriculture and attempts to forecast the trends.
Agricultural products depend upon the geographical area of production and their quality depends on environment and crop management. Grapevine cultivars can be adapted to the environment, resulting in differences in fruit quality, which will produce different wines. The knowledge of the territory gives value to agricultural products and the use of free software has advantages to associate spatial data with Geographical Information System (GIS) functions for Digital Image Processing (DIP), spatial analysis, Digital Elevation Models (DEM) and databases. The objective of this study was analyze spatially vineyards of Vitis vinifera in south Brazil, using DEM for zoning landscape and employing RapidEye images at different crop stages, in order to follow the Normalized Difference Vegetation Index (NDVI) and test tools that allow the producer a customized management between vineyards and within each vineyard. The software gvSIG was used to evaluate NDVI for plant vigor in order to infer diseases, water status, and other factors. NDVI, altitude, slope, and exposure average were generated for 64 vineyards. To a Cabernet Sauvignon area, a map was generated, showing the variability of the vineyard by resampling of pixel size image, from five to one-meter spatial resolution and zoning according to critical variables for the vineyard. In conclusion, geotechnology is important for viticulture, as a support to environmental diagnostics and are a strategic application for agricultural management. Analytical tools and sensors can provide fast, easily accessible data to all users, being a technology prone to be of widespread access for the end user.
Como para cualquier otro profesional que se dedique al análisis de datos, una de las tareas más importantes y a la vez una de las más complicadas con la que nos encontramos los profesionales de los SIG, es difundir la información extraída de los mismos, de tal manera que resulte fácil de entender para los potenciales consumidores de los mismos, que probablemente no sean expertos en Sistemas de Información Geográfica, o bien no tienen tiempo para analizar complejos mapas e intrincadas gráficas y tablas de datos. Es por ello que en muchas ocasiones tenemos que encontrar el equilibrio entre lo que se quiere representar a partir de los datos disponibles, y lo que el cliente está dispuesto o capacitado a consumir.
Growing opportunities from the space sector, once the preserve of the military and telecoms; national mapping and how GIS is helping restore one the world's important wetlands are all at the heart of this issue of GIS Professional.
We also examine whether there is a role for geological data within GIS and the Smart City agenda. While for those considering a career change Conor Smyth offers some encouraging words.
Geographers looking at environmental inequality focus on how different segments of a population have unequal access to different levels of environmental quality, ranging in water, air, and soil resources.
These techniques cover most of what data scientists and related practitioners are using in their daily activities, whether they use solutions offered by a vendor, or whether they design proprietary tools. When you click on any of the 40 links below, you will find a selection of articles related to the entry in question. Most of these articles are hard to find with a Google search, so in some ways this gives you access to the hidden literature on data science, machine learning, and statistical science. Many of these articles are fundamental to understanding the technique in question, and come with further references and source code. Starred techniques (marked with a *) belong to what I call deep data science, a branch of data science that has little if any overlap with closely related fields such as machine learning, computer science, operations research, mathematics, or statistics. Even classical machine learning and statistical techniques such as clustering, density estimation, or tests of hypotheses, have model-free, data-driven, robust versions designed for automated processing (as in machine-to-machine communications), and thus also belong to deep data science. However, these techniques are not starred here, as the standard versions of these techniques are more well known (and unfortunately more used) than the deep data science equivalent.
“You can’t model, protect or preserve a ‘what’ if you don’t know what ‘what’ is and ‘where’ it is.” This is Curt Storlazzi’s philosophy in a nutshell when it comes to understanding the characteristics of coral reefs.
A researcher and geological oceanographer with the U.S. Geological Survey (USGS), Storlazzi is a part of a team of research scientists, operational scientists, electronics technicians, mechanical technicians, underwater camera system designers and safety officers who work collectively to better understand the coral reefs of the U.S. and safeguard them.
Baseball, noted as the national pastime of the United States, engages many fans from Opening Day in April up until the World Series is held in October of each year.
So how do cartography and baseball mix? Very well in some cases. You can even put your map on an actual baseball or you can go old fashioned and use push pins to chart the baseball stadiums you’ve visited with this map from Hammacher Schlemmer.
The more interesting examples of baseball maps are listed below with a bonus section about using GIS to learn about baseball from a geographic perspective.
What makes someone a good storyteller? Storytelling is something we all do naturally, starting at a young age, but there’s a difference between good storytelling and great storytelling. In this lesson you’ll hear from Pixar directors and story artists about how they got their start, what stories inspire them, and you’ll begin to think about what kinds of stories you might want to tell.
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
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Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.