Monthly Archives: June 2015

Casa del Chiodo in Piloni, Southern Tuscany, Italy: the first participatory mapping farmhouse

Pici “Aglione Style” (tomato sauce and garlic) made by Paola

We have renovated the web site (actually, a single page) for Casa del Chiodo, a farmhouse in Piloni, Farma Valley. The place is in Southern Tuscany, about 45 minutes South of Siena.

In addition to standard information about the premises, we have added news about interesting activities which take place at Casa del Chiodo, in collaboration with other subjects in the area and with scientists and experts from various parts of Europe.

The page is currently available only in Italian, but will be translated into various languages over the coming weeks.

You may visit the web site at http://www.casadelchiodo.it, and send inquiries in English, French, German or Portugues to casadelchiodo.piloni@gmail.com

Photo by Andreas Haenel, director of the Osnabrueck Planetarium, Germany, Farma Valley, March 2015.

Attivarti.org

Attivarti.org is a small non-governmental organization, namely a “societal promotion association”, according to Italian legislation.

I created Attivarti.org in 2011 in partnership with three colleagues, two other environmental engineers and an archaeologists, to give a legal status, a social security code and a bank account to the “stuff” which I started proposing in 2006, in parallel to my job as a geographic information systems specialist/project manager.

In 2019, with the national reform of the non-profit sector in Italy, we have been forced to put the association in a “hibernation” state. In parallel, several of the activities which were initiated with it have now matured into actual professional services, which you may find inserted in the Services page of the pibinko.org network.

I’d like to recall that, at present, Attivarti.org is a largely self-funded effort. For this reason, I invite you to support it by checking out the page “support us” page and committing to at least one of the three actions indicated therein.

v 1.1- Text mining of the Encyclical Letter Laudato Si’ of the Holy Father Francis on Care for Our Common Home

Over the past five days I have received several positive comments to version 1.0 of the analysis …so I’ve been thinking…what could be the next version?

The most practical option would have been to work down the list of terms in the word count, like “from chart position #11 to #20″…but things get fuzzier once you walk out of the top terms, because ambiguities and semantics start playing a heavier role, and a stronger semantic engine would be required.

Thinking about parts of the narrative which are less ambiguous, I decided to consider the temporal components of the Encyclical Letter, namely…years. These are included both in the actual text, as well as in the references at the end.

As for the previous version, the caveat in this case is that the text mining algorithm does an easy job of identifying single years (and will detect nouns related to time). However the algorithm will not “understand” relative time references, such as “five years after the publication of document X”, and so forth.

The chart shows the number of occurrences of a given year in the text.

enciclica_anni
The trend clearly shows that references to years, which are typically the dates of documents, protocols, events increase substantially over time. At the same time, we can observe phase, typically around the central part of a decade, where the number of references tends to go down.

Is this because there has been a more limited concern on environment in these moments in time, or because the Vatican considers these phases less relevant to its vision on the Care of the Common Home?

Let’s see what the next version of the algorithm may bring…

As for my previous article, please write to info@pibinko.org for comments, or if you are interested in collaborating on this type of work.

Text mining of the Encyclical Letter Laudato Si’ of the Holy Father Francis on Care for Our Common Home – v1.0

A cursory analysis of the Encyclical Letter Laudato Si’ of the Holy Father Francis on Care for Our Common Home provides some interesting insight on the priorities of this important document:
top10enciclica2015

The ranking is based on an automated word count script, coded in Perl. The numbers in the Y axis of the chart indicates the number of occurrences of each word.

Please note that this ranking is not to be intended as a “Top 10″…many other terms are considered in the spreadsheet used for the full analyisis (see below for the download). To make a long story short on a first round of analysis, I decided to list in this post the first ten terms, without implying that the bottom items are of least importance.

The analysis is necessarily simplified (hence the reference to a version 1.0 for this blog post). For example:

  • singular and plural occurences of nouns are not assimilated
  • a few encoding issues have been observed in the source file for the analysis (these do not impact the readability of the source document, but will affect the automated word count in the basic form used)
  • context is ignored (e.g. “water is good for drinking” or “water generates floods” will provide a word count of 1 for water, anyway)

Furthermore, I have applied my personal judgment in highlighting nouns and other terms in the document (e.g. certain adjectives).

The file used for this analysis may be donwloaded at pibinko.org.

It is likely that applying better tools for natural language processing or text mining, more significant results will be obtained. Nevertheless, the basic analysis presented here are interesting enough (and fairly reliable, having run simple QA/QC tests on selected terms).

Being active in the topic of artificial light at night, I also noted sub-section 211:

II. EDUCATING FOR THE COVENANT BETWEEN HUMANITY AND THE ENVIRONMENT

211. Yet this education, aimed at creating an “ecological citizenship”, is at times limited to providing information, and fails to instil good habits. The existence of laws and regulations is insufficient in the long run to curb bad conduct, even when effective means of enforcement are present. If the laws are to bring about significant, long-lasting effects, the majority of the members of society must be adequately motivated to accept them, and personally transformed to respond. Only by cultivating sound virtues will people be able to make a selfless ecological commitment. A person who could afford to spend and consume more but regularly uses less heating and wears warmer clothes, shows the kind of convictions and attitudes which help to protect the environment. There is a nobility in the duty to care for creation through little daily actions, and it is wonderful how education can bring about real changes in lifestyle. Education in environmental responsibility can encourage ways of acting which directly and significantly affect the world around us, such as avoiding the use of plastic and paper, reducing water consumption, separating refuse, cooking only what can reasonably be consumed, showing care for other living beings, using public transport or car-pooling, planting trees, turning off unnecessary lights, or any number of other practices. All of these reflect a generous and worthy creativity which brings out the best in human beings. Reusing something instead of immediately discarding it, when done for the right reasons, can be an act of love which expresses our own dignity.

I will be glad to hear about experts in text minining interested in collaborating on a more refined analysis of the encyclical text (please write to info@pibinko.org)

A report of the June 14, 2015 event in Scalvaia

[TO BE TRANSLATED]

L’incontro si è svolto tra le 11.15 e le 12.35 circa.

Partecipanti, tendenti al venti, non pochi, non tanti, ma tutte persone motivate e interessanti. In assoluto, non pochi per una domenica mattina con gli scrosci d’acqua.

Età: tra 17 e (stimo) 77 anni.

Provenienza: solo una persona proveniente da fuori Valle Che Non c’è.

La chiacchierata, partita da un’analisi socioeconomica del progetto “palla a 21: dalla Toscana a Chicago e ritorno”, ed è finita con una sveglia di marca “Peter” che ha suonato la fine dell’intervento, come la campanella alla fine della lezione.

Tra l’inizio e la fine dell’evento…

  • un excursus su vari progetti svolti a partire dal 2007
  • l’analisi delle relazioni tra persone dei tre borghi di Scalvaia, Piloni e Torniella e il resto dell’orbe terracqueo
  • accenni alla partecipazione al concorso internazionale indetto dal progetto INVOLEN con i location based games per m(‘)appare la Val di Farma
  • le cinque interviste fatte da Giulia Ceccarini a Renato Bartalucci e Marisa Boncioli, come base per i giochi INVOLEN
  • alcuni spunti delle attività nell’ambito della rete Loss of the Night
  • gli inserti -mai a caso- di Claudio Spinosi, noto Bobbe,

…ma soprattutto, con applauso a scena aperta, il reading che Alessio Serragli detto Il Secco ha fatto del testo prodotto da pibinko con la direzione artistica di Giancarlo da Miele e Aldo Randallo. Questo è provvisoriamente intitolato “La Valle che non c’è“, a ricalcare la nota canzone di Edward Wellborne (Edoardo Bennato)…magari da ri-arrangiare con base diversa. Le parole in questo caso hanno contato più della musica.

Prossimo appuntamento: giovedì 16 luglio, ore 22, al Palazzo dell’Abbondanza di Massa Marittima per m(‘)appare l’altra metà del paesaggio.

Per informazioni: mappare@attivarti.org

2015-06-14-nazione

Oltre ai partecipanti e agli assenti giustificati, si ringraziano in particolare:

  • Il Circolo “Il Barbicone” di Scalvaia per l’ospitalità
  • Elisabetta Vainigli della fotoottica di Monticiano per il reportage
  • Giulia Ceccarini della Casa del Chiodo di Piloni per il supporto multimediale.
  • Il Comune di Monticiano per il patrocinio e la presenza del Sindaco, Sandra Becucci

Determining the relative orientation of two segments on the same plane – version 1

Task: determine the relative orientation of two segments on the same plane (not airplane). I.e. the façade of a building and a road:
from_claudia_schwarzkopf

Assumptions

  • The walls of verious buildings along the road have more or less the same length (i.e. 30 feet)
  • Road sinuosità can be neglected (no mountain trails of country roads in alluvial plains, taking you home with 90° bends)
  • You’re on a Friday, and you decided to miss an interesting gig in Florence, Italy, the evening before

How shall we go about this?

  • Segmentize the road in 30 ft. arcs
  • From the “buildings” polygon layer, extract the line segments corresponding to the walls.
  • Create a point layer with the points corresponding to the ends of each line segment, preserving the ID of the source segment
  • Add x,y columns to the point layer
  • For each “wall” calculate the “nearest neighbouring” road segment.
  • From here, in a couple of steps, you should get to a “wall” layer where the attributes contain the x,y coordinated both of the wall ends, and the ends of the road segments..
  • hence you may calculat the angle defined by the two segments.

Works for you (or Works not)? Let me know (info@pibinko.org)