Reproducible geospatial data science: Exploratory data analysis using collaborative analysis environments

نویسندگان
چکیده

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Reproducible geospatial data science: Exploratory Data Analysis using collaborative analysis environments

The answers to current our planet’s problems could be hidden in gigabytes of satellite imagery of the last 40 years, but scientists lack the means for processing such amount of data. To answer this challenge, we are building a scientific platform for handling big Earth observation data. We organized decades of satellite images into data cubes in order to put together data and analysis. Our plat...

متن کامل

Exploratory geospatial data analysis using the GeoSOM suite

Clustering constitutes one of the most popular and important tasks in data analysis. This is true for any type of data, and geographic data is no exception. In fact, in geographic knowledge discovery the aim is, more often than not, to explore and let spatial patterns surface rather than develop predictive models. The size and dimensionality of the existing and future databases stress the need ...

متن کامل

GeoSpatial Data Analysis Using Markov Models

The advances in survey and data collection techniques over the last decade have dramatically enhanced our capabilities to collect terabytes of geographic data on a daily basis. However, the wealth of geographic data cannot be fully realized when information implicit in data is difficult to discern. This confronts us with an urgent need for new methods and tools that can intelligently and automa...

متن کامل

KNIME for reproducible cross-domain analysis of life science data.

Experiments in the life sciences often involve tools from a variety of domains such as mass spectrometry, next generation sequencing, or image processing. Passing the data between those tools often involves complex scripts for controlling data flow, data transformation, and statistical analysis. Such scripts are not only prone to be platform dependent, they also tend to grow as the experiment p...

متن کامل

Geographical Analysis of COVID-19 Epidemiology in Iran with Exploratory Spatial Data Analysis Approach (ESDA)

Background and Aim: The use of geophysical analysis of the epidemiology to identify geographical factors affecting the prevalence of the disease can be effective on community health policies to control the prevalence of the virus. Therefore, the present study is a geographical analysis of the COVID-19 epidemiology in Iran. Therefore, the purpose of this study is the geographical analysis of co...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Revista Brasileira de Cartografia

سال: 2018

ISSN: 1808-0936

DOI: 10.14393/rbcv70n5-45036